A cooling system for a regenerative plastic extruder
By collecting and analyzing axial and radial temperature data in a recycled plastic extruder, a multi-dimensional coupling matrix is constructed for dynamic adjustment, which solves the problems of uneven temperature and unstable medium in the cooling system of the recycled plastic extruder, and achieves high-precision temperature control and product consistency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HANGZHOU KEYANG NEW MATERIAL TECH CO LTD
- Filing Date
- 2026-05-29
- Publication Date
- 2026-08-04
AI Technical Summary
The existing cooling system of recycled plastic extruders cannot simultaneously acquire data on the axial temperature change along the extruder flow channel and the temperature difference between the inside and outside of the radial section. This results in a lack of basic cooling control data, limited accuracy, and a lack of quantitative evaluation system and dynamic adjustment mechanism, leading to temperature imbalance and unstable molding conditions.
The data acquisition module acquires axial and radial temperature distribution data, and the thermal state analysis module calculates thermal imbalance index and uniformity index. The medium stability analysis module obtains dynamic stability index, and a multi-dimensional coupling matrix is constructed for feature calculation to generate dynamic adjustment information to adjust the cooling actuator.
It achieves full-range temperature acquisition and precise control, improves temperature uniformity and molding consistency in the recycled plastic extrusion process, stabilizes the operating state of the cooling medium, and improves product quality.
Smart Images

Figure CN122500922A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of extruder cooling technology, and more specifically to a cooling system for a recycled plastic extruder. Background Technology
[0002] Single-screw extruders are the core equipment for the melting and processing of recycled plastics. Most mainstream single-screw recycled plastic extruders are equipped with cooling control systems, which mostly adopt a segmented fixed-value constant temperature and rough control mode, which has the following problems;
[0003] Existing recycled plastic extrusion cooling systems can only acquire single-point or overall temperature data, and cannot simultaneously obtain data on the axial temperature change along the extruder flow channel and the temperature difference between the inside and outside of the radial section. The temperature acquisition dimension is one-sided and cannot fully reproduce the actual plasticizing temperature field of recycled plastic, resulting in a lack of data foundation for cooling control and limited accuracy.
[0004] Traditional solutions lack a quantitative evaluation system adapted to recycled plastic extrusion processes. They cannot calculate thermal imbalance indices and temperature field uniformity indices based on the axial and radial temperature characteristics of the flow channel, nor can they determine the stability of the cooling medium operation in conjunction with the extrusion process window constraints. They rely solely on a single parameter to subjectively judge the operating condition, resulting in non-standard condition assessment and poor process adaptability.
[0005] Existing cooling control methods do not consider the coupling relationship between cooling compensation parameters, temperature uniformity, and media stability. This makes it impossible to quantify the degree of cooling fluctuation under the combined effects of multiple parameters, and to identify the overall unstable state of the cooling system. Furthermore, the lack of a dynamic adjustment mechanism based on operating condition fluctuations results in a fixed and singular cooling adjustment method that cannot adapt to the extruder's flow channel structure characteristics to correct cooling parameters in real time. This leads to temperature imbalances and large cooling fluctuations during recycled plastic extrusion, resulting in unstable molding conditions and difficulty in ensuring product molding consistency. Summary of the Invention
[0006] The technical problem to be solved by the present invention is to overcome the problems of uneven temperature field distribution and unstable operation of cooling medium in the cooling control of recycled plastic extruders in the prior art and to provide a cooling system for recycled plastic extruders.
[0007] The technical solution adopted by this invention to solve its technical problem is: a cooling system for a recycled plastic extruder, applied to a single-screw recycled plastic extruder, comprising:
[0008] The data acquisition module is used to acquire cooling operation detection data during the melt extrusion process of recycled plastics. The cooling operation detection data includes axial temperature distribution data and radial temperature distribution data of the extruder flow channel, as well as cooling medium operation data.
[0009] The thermal state analysis module is used to obtain thermal state imbalance indexes suitable for recycled plastic extrusion processes based on the axial temperature distribution data and radial temperature distribution data of the extruder flow channel, and to generate cooling compensation parameters based on the thermal state imbalance indexes.
[0010] The uniformity evaluation module is used to obtain the temperature field uniformity index that adapts to the extruder channel structure based on the axial temperature distribution data and radial temperature distribution data of the extruder channel.
[0011] The medium stability analysis module is used to obtain the dynamic stability index of the cooling medium based on the cooling medium operation data and the process window constraints of recycled plastic melt extrusion.
[0012] The coupling matrix construction module is used to construct a multi-dimensional coupling matrix for the extrusion cooling process of recycled plastics based on the cooling compensation parameters, temperature field uniformity index, and cooling medium dynamic stability index.
[0013] The control fluctuation calculation module is used to perform feature decomposition on the multi-dimensional coupling matrix to obtain the cooling control fluctuation value characterizing the instability of the recycled plastic extrusion cooling system;
[0014] The adjustment and execution module is used to generate dynamic adjustment information adapted to the extruder flow channel characteristics based on the cooling control fluctuation value and cooling compensation parameters, and to adjust the cooling actuator according to the dynamic adjustment information.
[0015] Furthermore, the thermal state analysis module includes:
[0016] Imbalance index calculation unit; the imbalance index calculation unit is used to receive axial temperature distribution data and radial temperature distribution data, and calculate the thermal state imbalance index in combination with the recycled plastic extrusion process.
[0017] The compensation parameter output unit is used to calculate and output the corresponding cooling compensation parameters based on the thermal imbalance index.
[0018] Furthermore, the uniformity evaluation module includes:
[0019] A temperature field construction unit is used to reconstruct the complete temperature field of the extruder channel based on axial temperature distribution data and radial temperature distribution data.
[0020] The uniformity index calculation unit calculates the temperature field uniformity index based on the complete temperature field.
[0021] Furthermore, the medium stability analysis module includes:
[0022] The parameter comparison unit is used to receive cooling medium operation data and perform parameter deviation comparison according to the recycled plastic melt extrusion process window to obtain parameter comparison results;
[0023] A stability quantification unit is used to calculate the dynamic stability index of the cooling medium based on the parameter comparison results.
[0024] Furthermore, the coupling matrix construction module includes:
[0025] The system includes a parameter fusion unit and a matrix construction unit. The parameter fusion unit receives three types of parameters: cooling compensation parameters, temperature field uniformity index, and cooling medium dynamic stability index, and performs multi-dimensional parameter correlation and matching.
[0026] The matrix construction unit is used to construct a multi-dimensional coupling matrix corresponding to the recycled plastic extrusion cooling process based on the parameters after correlation matching.
[0027] Furthermore, the fluctuation calculation module includes:
[0028] A matrix solving unit; the matrix solving unit is used to perform feature solving on a multi-dimensional coupling matrix and extract system coupling deviation features;
[0029] Fluctuation value output unit; the fluctuation value output unit is used to obtain the cooling control fluctuation value based on the system coupling deviation characteristics.
[0030] Furthermore, the adjustment execution module includes:
[0031] Dynamic control decision unit; the dynamic control decision unit is used to combine cooling control fluctuation value and cooling compensation parameter to generate dynamic adjustment information adapted to the extruder flow channel characteristics;
[0032] An execution adjustment unit is provided, which is used to adjust the parameters of the cooling actuator according to dynamic adjustment information.
[0033] This application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the above-described system.
[0034] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described system.
[0035] The beneficial effects of this application are as follows: This application simultaneously collects axial temperature distribution data, radial temperature distribution data, and cooling medium operation data of the extruder flow channel. Compared with the traditional method of collecting only single-point or overall temperature, it can completely obtain the temperature change along the extrusion flow channel and the temperature difference between the inside and outside of the cross section, realizing the full-domain acquisition of the extrusion temperature state and providing complete data support for subsequent precise control.
[0036] This application utilizes axial and radial temperature data to calculate thermal imbalance indices and output cooling compensation parameters by matching them with recycled plastic extrusion processes. Simultaneously, it calculates the temperature field uniformity index based on the flow channel structure and determines the stability of the cooling medium based on the extrusion process window. By replacing traditional single subjective judgments with multi-dimensional quantitative indicators, a standardized assessment of extrusion thermal imbalance, temperature uniformity, and medium operating status is achieved.
[0037] This application integrates cooling compensation parameters, temperature field uniformity index, and medium dynamic stability index through a multi-dimensional coupling matrix, and obtains cooling control fluctuation values through feature calculation. This can quantitatively characterize the degree of instability in the cooling system operation, making up for the shortcomings of traditional technologies that cannot quantify system coupling fluctuations. Based on the cooling control fluctuation values and cooling compensation parameters, a dynamic adjustment strategy adapted to the flow channel structure is generated, realizing precise dynamic control of the cooling actuator, effectively suppressing temperature imbalance and cooling fluctuations in the recycled plastic extrusion process, stabilizing the extrusion plasticizing conditions, and improving the molding consistency of recycled plastic extrusion products. Attached Figure Description
[0038] The present invention will be further described below with reference to the accompanying drawings and embodiments.
[0039] Figure 1 This is a system flowchart of the present invention. Detailed Implementation
[0040] The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, illustrating only the basic structure of the invention, and therefore only show the components relevant to the invention.
[0041] like Figure 1 As shown, the present invention provides a cooling system for a recycled plastic extruder, applied to a single-screw recycled plastic extruder, comprising:
[0042] The data acquisition module is used to acquire cooling operation detection data during the melt extrusion process of recycled plastics. This cooling operation detection data includes axial and radial temperature distribution data of the extruder flow channel, as well as cooling medium operation data. Acquiring this data provides all the original data sources for subsequent analysis, calculation, and control of the entire machine. The specific execution steps are as follows: First, selectively acquire axial temperature distribution data inside the barrel flow channel under the recycled plastic melt extrusion condition of a single-screw extruder, covering the temperature information along the entire process section, including the feeding section, melting section, homogenization section, and die head section. Second, simultaneously acquire temperature distribution data at different levels of the radial cross-section of the extruder flow channel, covering the core melt layer, middle melt layer, and temperature measurement points on the inner wall of the barrel, forming complete cross-sectional temperature data. Third, simultaneously acquire the temperature, flow rate, pressure, and other operating parameters of the cooling medium, integrate the axial temperature data, radial temperature data, and cooling medium operation data, unify the timing alignment processing, generate complete cooling operation detection data, and synchronously transmit it to subsequent functional modules.
[0043] The thermal state analysis module is used to obtain thermal state imbalance indices suitable for the recycled plastic extrusion process based on the axial and radial temperature distribution data of the extruder channel, and to generate cooling compensation parameters based on the thermal state imbalance indices. It quantifies the extrusion thermal imbalance state based on the axial and radial temperature data of the channel and outputs corresponding cooling compensation benchmark parameters. The specific execution steps are as follows: First, it receives the axial and radial temperature distribution data of the extruder channel transmitted by the data acquisition module; second, it combines the recycled plastic-specific melt extrusion process standard, preset temperature difference threshold, and process constraints to quantify the axial segment temperature offset and radial cross-sectional temperature difference, solving for the thermal state imbalance indices suitable for the recycled plastic extrusion process, accurately quantifying the degree of plasticizing thermal imbalance inside the channel; third, based on the specific values, imbalance types, and imbalance severity levels of the thermal state imbalance indices, it matches preset process compensation mapping rules to calculate and generate corresponding cooling compensation parameters, providing parameter basis for subsequent cooling correction.
[0044] The uniformity evaluation module is used to obtain a temperature field uniformity index adapted to the extruder channel structure based on the axial and radial temperature distribution data of the extruder channel. The core function of this module is to quantify the regularity of the overall temperature field distribution based on the axial and radial temperature data of the channel, forming a uniformity evaluation index adapted to the equipment structure. The specific execution steps are as follows: First, receive the axial and radial temperature distribution data of the extruder channel output by the data acquisition module; second, combine the cylindrical cavity structure and material conveying structure characteristics of the single-screw extruder channel to fit and complete the discrete axial and radial temperature measurement data, reconstructing the continuous temperature field across the entire channel; third, perform a global dispersion calculation based on the complete channel temperature field data to quantitatively solve for the temperature field uniformity index adapted to the extruder channel structure, which is used to objectively characterize the uniformity of the overall channel temperature distribution.
[0045] The media stability analysis module is used to obtain the dynamic stability index of the cooling media based on the cooling media operation data and the process window constraints of recycled plastic melt extrusion; combined with the extrusion process constraints, it quantifies the operational stability of the cooling media and achieves standardized evaluation of the cooling end conditions. The specific execution steps are as follows: First, it receives the cooling media operation data collected by the data acquisition module, including real-time media temperature, pipeline flow rate, and pipeline pressure parameters; second, it retrieves the preset process window constraint range corresponding to recycled plastic melt extrusion, compares the real-time operating parameters of the media with the process allowable thresholds parameter by parameter, and statistically analyzes the parameter deviations and fluctuations; third, it performs weighted quantization calculations based on the parameter deviation results to obtain the dynamic stability index of the cooling media, thus achieving a digital characterization of the cooling media's operational stability.
[0046] The coupling matrix construction module is used to construct a multi-dimensional coupling matrix for the recycled plastic extrusion cooling process based on the cooling compensation parameters, temperature field uniformity index, and cooling medium dynamic stability index. It integrates multi-dimensional core parameters to construct a parameter correlation model, realizing the transformation from single-parameter independent analysis to multi-parameter coupled analysis. The specific execution steps are as follows: First, it receives three types of core parameters output from the pre-modules: cooling compensation parameters generated by the thermal state analysis module, temperature field uniformity index generated by the uniformity assessment module, and cooling medium dynamic stability index generated by the medium stability analysis module. Second, it performs normalization and alignment processing on the three types of parameters with different dimensions and physical meanings to eliminate dimensional differences. Third, based on the parameter correlation characteristics and coupling influence relationships of the recycled plastic extrusion cooling process, it treats the three types of parameters as independent dimensions to build a dedicated multi-dimensional coupling matrix, solidifying the coupling relationship between temperature compensation, temperature uniformity, and medium stability.
[0047] The control fluctuation calculation module is used to perform feature decomposition on the multi-dimensional coupling matrix to obtain cooling control fluctuation values that characterize the instability of the recycled plastic extrusion cooling system. By quantifying the system coupling fluctuations through matrix decomposition, the overall instability of the cooling system is accurately characterized. The specific execution steps are as follows: First, read the multi-dimensional coupling matrix constructed by the coupling matrix construction module; second, perform feature decomposition, deviation analysis, and other feature decomposition processing on the coupling matrix, stripping away static fixed deviations and extracting the dynamic disturbance features of the system generated by multi-parameter coupling; third, perform normalization conversion based on the coupling disturbance features to obtain the cooling control fluctuation values that can comprehensively characterize the degree of operational disorder in the recycled plastic extrusion cooling system, completing the quantitative output of the system's unstable state.
[0048] The adjustment execution module is used to generate dynamic adjustment information adapted to the extruder flow channel characteristics based on the cooling control fluctuation value and cooling compensation parameters, and to adjust the cooling actuator according to the dynamic adjustment information; combining the overall system fluctuation and local compensation parameters, it generates dynamic adjustment commands adapted to the equipment characteristics and completes the execution control. The specific execution steps are as follows: First, it synchronously receives the cooling control fluctuation value output by the control fluctuation calculation module and the cooling compensation parameters output by the thermal state analysis module, which serve as the overall system control benchmark and the basis for local deviation correction, respectively; Second, it combines the structural characteristics of segmented heat exchange and cross-sectional heat exchange in the single screw extruder flow channel, matches the preset adjustment strategy, and generates dynamic adjustment information adapted to the extruder flow channel characteristics; Third, it parses the various control commands in the dynamic adjustment information, drives the corresponding cooling actuator to complete parameter correction and intensity adjustment, and realizes closed-loop dynamic cooling control based on real-time operating conditions.
[0049] Optionally, the thermal state analysis module includes:
[0050] Imbalance index calculation unit; the imbalance index calculation unit is used to receive axial temperature distribution data and radial temperature distribution data, and calculate the thermal state imbalance index in combination with the recycled plastic extrusion process.
[0051] The compensation parameter output unit is used to convert and output the corresponding cooling compensation parameters according to the thermal imbalance index. Specifically, the imbalance index calculation unit is used to receive the axial and radial temperature distribution data of the extruder channel transmitted by the data acquisition module, retrieve the standard temperature range and ±5℃ temperature difference allowable threshold corresponding to the recycled plastic extrusion process, extract the real-time temperature of each process section of the extruder axial feeding section, melting section, homogenizing section and die head section, and perform point-by-point difference calculation with the standard temperature of the corresponding section to obtain the axial inter-segment temperature offset; at the same time, it collects the temperature of three points in the radial screw center, melt middle layer and barrel inner wall of the channel, calculates the maximum temperature difference value inside and outside the radial section, and combines the axial offset and radial temperature difference value for comprehensive quantitative calculation to obtain the thermal imbalance index used to characterize local overheating and abnormal inter-segment temperature difference in the extrusion channel. The thermal imbalance index calculation formula is as follows:
[0052]
[0053] in This represents the maximum internal and external temperature difference in the radial section. , To pre-set the axial and radial temperature imbalance weighting coefficients, the compensation parameter output unit internally stores a one-to-one mapping relationship between different imbalance index value ranges and cooling adjustment amounts. When a small imbalance is detected (temperature difference 5~10℃), a small cooling increment is matched; when a large imbalance is detected (temperature difference >10℃), a large gradient cooling correction amount is matched. Based on the real-time calculated value of the thermal state imbalance index, the corresponding cooling correction level is accurately matched, and the corresponding cooling compensation parameters of cooling amplitude and medium adjustment ratio are calculated and output.
[0054] Optionally, the uniformity evaluation module includes:
[0055] A temperature field construction unit is used to reconstruct the complete temperature field of the extruder channel based on axial temperature distribution data and radial temperature distribution data.
[0056] The uniformity index calculation unit calculates the temperature field uniformity index based on the complete temperature field. Specifically, the temperature field construction unit receives axially segmented and radially layered discrete temperature data output by the temperature acquisition unit, uses a bilinear interpolation algorithm to fill in the blank temperature nodes between adjacent temperature measurement points, and fits to generate a full-coverage, continuous two-dimensional temperature field model covering the entire extruder flow channel from the feed end to the discharge end and from the shaft center to the barrel wall. The uniformity index calculation unit iterates through the temperature values of all interpolation nodes and measured nodes in the temperature field model, calculates the maximum, minimum, and overall standard deviation of the global temperature, performs normalization calculation based on the temperature dispersion calculation formula, and outputs the temperature field uniformity index in the range of 0 to 1. This index is used to quantitatively characterize the regularity of the temperature distribution throughout the extruder flow channel. The temperature field uniformity index calculation formula is as follows:
[0057]
[0058] in, The standard deviation of temperature across all temperature nodes in the entire region. The average temperature of all temperature nodes in the region. The value ranges from 0 to 1. The closer the value is to 1, the better the uniformity of the temperature field distribution in the flow channel.
[0059] Optionally, the medium stability analysis module includes:
[0060] The parameter comparison unit is used to receive cooling medium operation data and perform parameter deviation comparison according to the recycled plastic melt extrusion process window to obtain parameter comparison results;
[0061] The stability quantification unit is used to calculate the dynamic stability index of the cooling medium based on the parameter comparison results. Specifically, the parameter comparison unit receives the operating data of cooling medium temperature, flow rate, and pressure output by the medium acquisition unit in real time, retrieves the fixed process window of recycled plastic melt extrusion, limits the standard medium temperature to 25~35℃, the standard flow rate fluctuation range to ±0.2m³ / h, and the standard pressure fluctuation range to ±0.05MPa, and compares the real-time parameters with the process thresholds one by one, recording the real-time deviation, duration of exceeding the standard, and frequency of fluctuation for each parameter. The stability quantification unit performs fixed-weighted calculation on the deviation data of the three parameters of temperature, flow rate, and pressure, performs quantitative deduction processing on high-frequency fluctuations and deviations exceeding the threshold, and finally normalizes and outputs the dynamic stability index of the cooling medium in the range of 0~1, which is used to quantitatively record the degree of fluctuation deviation of the cooling medium in real time. The formula for calculating the dynamic stability index of the cooling medium is as follows:
[0062]
[0063] in These are the relative deviation rates of the medium temperature, flow rate, and pressure, respectively. And the sum of the weight coefficients is 1. .
[0064] Optionally, the coupling matrix construction module includes:
[0065] The system includes a parameter fusion unit and a matrix construction unit. The parameter fusion unit receives three types of parameters: cooling compensation parameters, temperature field uniformity index, and cooling medium dynamic stability index, and performs multi-dimensional parameter correlation and matching.
[0066] The matrix construction unit is used to construct a multi-dimensional coupling matrix corresponding to the recycled plastic extrusion cooling process based on the parameters after correlation matching. Specifically, the parameter fusion unit is used to synchronously receive the cooling compensation parameters output by the thermal state analysis module, the temperature field uniformity index output by the uniformity evaluation module, and the cooling medium dynamic stability index output by the medium stability analysis module. Considering the different dimensions and numerical ranges of the three types of parameters, the extreme value normalization algorithm is used to uniformly convert them to the standard numerical range of 0~1, and complete the data alignment, temporal matching and correlation binding of the multi-dimensional parameters. The extreme value normalization calculation formula is:
[0067]
[0068] in, These are the original input values for cooling compensation parameters, temperature field uniformity index, and cooling medium dynamic stability index. , These correspond to the upper and lower limits of the historical extreme values for each parameter, respectively. To achieve unified quantization alignment of three types of heterogeneous parameters by mapping the normalized parameter values to the 0~1 range;
[0069] The matrix construction unit is used to treat the cooling compensation parameter, temperature field uniformity index, and cooling medium dynamic stability index as independent dimensions of a three-dimensional matrix. Based on the parameter correlation weights of the recycled plastic extrusion cooling process, the cross-coupling coefficients of each dimension are determined to construct a multi-dimensional coupling matrix with a third-order square matrix structure. This solidifies the interrelationships and mutual interference relationships among the three types of parameters. The expression for the constructed multi-dimensional coupling matrix is as follows:
[0070]
[0071] in, For normalized cooling compensation parameters, For the normalized temperature field uniformity index, Normalized dynamic stability index of cooling medium , , , , , The preset process coupling coefficients between various dimensions are used to characterize the degree of mutual interference and correlation between different parameters, ultimately forming a third-order coupling matrix that adapts to the cooling process of recycled plastic extrusion.
[0072] Optionally, the fluctuation calculation module includes:
[0073] A matrix solving unit; the matrix solving unit is used to perform feature solving on a multi-dimensional coupling matrix and extract system coupling deviation features;
[0074] A fluctuation value output unit is used to obtain cooling control fluctuation values based on system coupling deviation characteristics. Specifically, the matrix solution unit reads the third-order multi-dimensional coupling matrix generated by the coupling matrix construction module, separates the steady-state characteristic components and disturbance characteristic components within the matrix through a matrix eigenvalue decomposition algorithm, eliminates the independent static deviations of each dimension parameter, and accurately extracts the system comprehensive coupling deviation characteristic quantity generated by the cross-coupling disturbance of multi-dimensional parameters. The fluctuation value output unit presets a linear quantization scale of 0~100, substitutes the extracted system coupling deviation characteristic quantity into the normalization conversion formula, maps it to the 0~100 value range according to the degree of deviation disturbance, and solves to obtain a unique corresponding cooling control fluctuation value, which is used to quantitatively identify the overall instability of the cooling system. The cooling control fluctuation value calculation formula is as follows:
[0075]
[0076] The maximum perturbation eigenvalue obtained by solving the coupling matrix. The system's standard steady-state eigenvalues are used as the basis for calculating the cooling control fluctuation values in the 0-100 range through eigenvalue deviation normalization. .
[0077] Optionally, the adjustment execution module includes:
[0078] Dynamic control decision unit; the dynamic control decision unit is used to combine cooling control fluctuation value and cooling compensation parameter to generate dynamic adjustment information adapted to the extruder flow channel characteristics;
[0079] The execution adjustment unit is used to adjust the parameters of the cooling actuator based on dynamic adjustment information. Specifically, the dynamic control decision unit receives the cooling control fluctuation value output by the control fluctuation calculation module and the cooling compensation parameter output by the thermal state analysis module. It uses the cooling control fluctuation value in the range of 0-100 as the overall system control benchmark, distinguishing between three control levels: slight fluctuation (0-30), moderate fluctuation (30-60), and severe fluctuation (60-100). Simultaneously, it uses the cooling compensation parameter as the basis for precise correction of local temperature imbalances in the flow channel. This is combined with the segmented heat exchange structure of the single-screw extruder's axial feeding section, melting section, homogenizing section, and die head section, as well as the heat exchange differences between the radial axis, middle layer, and barrel wall of the flow channel. Features include: retrieving a preset hierarchical adjustment strategy library, matching the corresponding level of control logic, and accurately outputting standardized dynamic adjustment information including specific increases or decreases in cooling medium flow rate, pipeline pressure correction values, cooling start / stop duty cycles of each process section, and cooling duration; the execution adjustment unit is used to analyze the sub-instructions of the dynamic adjustment information in real time, and to drive the cooling water pump speed adjustment, pipeline diversion valve opening adjustment, and the on / off and power adjustment of the independent segmented cooling circuits of each process section. It can achieve single-step flow rate fine-tuning with an accuracy of 0.05 m³ / h and single-step pipeline pressure correction with an accuracy of 0.01 MPa. At the same time, it can independently complete the differentiated cooling intensity adjustment of each extrusion process section, realizing layered and precise adjustment based on the overall machine fluctuation state and local temperature imbalance.
[0080] Based on the above-described preferred embodiments of the present invention, and through the foregoing description, those skilled in the art can make various changes and modifications without departing from the inventive concept. The technical scope of this invention is not limited to the contents of the specification, but must be determined according to the scope of the claims.
Claims
1. A cooling system for a recycled plastic extruder, applied to a single-screw recycled plastic extruder, characterized in that, include: The data acquisition module is used to acquire cooling operation detection data during the melt extrusion process of recycled plastics. The cooling operation detection data includes axial temperature distribution data and radial temperature distribution data of the extruder flow channel, as well as cooling medium operation data. The thermal state analysis module is used to obtain thermal state imbalance indexes suitable for recycled plastic extrusion processes based on the axial temperature distribution data and radial temperature distribution data of the extruder flow channel, and to generate cooling compensation parameters based on the thermal state imbalance indexes. The uniformity evaluation module is used to obtain the temperature field uniformity index that adapts to the extruder channel structure based on the axial temperature distribution data and radial temperature distribution data of the extruder channel. The medium stability analysis module is used to obtain the dynamic stability index of the cooling medium based on the cooling medium operation data and the process window constraints of recycled plastic melt extrusion. The coupling matrix construction module is used to construct a multi-dimensional coupling matrix for the extrusion cooling process of recycled plastics based on the cooling compensation parameters, temperature field uniformity index, and cooling medium dynamic stability index. The control fluctuation calculation module is used to perform feature decomposition on the multi-dimensional coupling matrix to obtain the cooling control fluctuation value characterizing the instability of the recycled plastic extrusion cooling system; The adjustment and execution module is used to generate dynamic adjustment information adapted to the extruder flow channel characteristics based on the cooling control fluctuation value and cooling compensation parameters, and to adjust the cooling actuator according to the dynamic adjustment information.
2. The cooling system for a recycled plastic extruder according to claim 1, characterized in that, The thermal state analysis module includes: Imbalance index calculation unit; the imbalance index calculation unit is used to receive axial temperature distribution data and radial temperature distribution data, and calculate the thermal state imbalance index in combination with the recycled plastic extrusion process. The compensation parameter output unit is used to calculate and output the corresponding cooling compensation parameters based on the thermal imbalance index.
3. The cooling system for a recycled plastic extruder according to claim 1, characterized in that, The uniformity evaluation module includes: A temperature field construction unit is used to reconstruct the complete temperature field of the extruder channel based on axial temperature distribution data and radial temperature distribution data. The uniformity index calculation unit calculates the temperature field uniformity index based on the complete temperature field.
4. The cooling system for a recycled plastic extruder according to claim 1, characterized in that, The medium stability analysis module includes: The parameter comparison unit is used to receive cooling medium operation data and perform parameter deviation comparison according to the recycled plastic melt extrusion process window to obtain parameter comparison results; A stability quantification unit is used to calculate the dynamic stability index of the cooling medium based on the parameter comparison results.
5. The cooling system for a recycled plastic extruder according to claim 1, characterized in that, The coupling matrix construction module includes: The system includes a parameter fusion unit and a matrix construction unit. The parameter fusion unit receives three types of parameters: cooling compensation parameters, temperature field uniformity index, and cooling medium dynamic stability index, and performs multi-dimensional parameter correlation and matching. The matrix construction unit is used to construct a multi-dimensional coupling matrix corresponding to the recycled plastic extrusion cooling process based on the parameters after correlation matching.
6. The cooling system for a recycled plastic extruder according to claim 1, characterized in that, The fluctuation calculation module includes: A matrix solving unit; the matrix solving unit is used to perform feature solving on a multi-dimensional coupling matrix and extract system coupling deviation features; Fluctuation value output unit; the fluctuation value output unit is used to obtain the cooling control fluctuation value based on the system coupling deviation characteristics.
7. The cooling system for a recycled plastic extruder according to claim 1, characterized in that, The adjustment execution module includes: Dynamic control decision unit; the dynamic control decision unit is used to combine cooling control fluctuation value and cooling compensation parameter to generate dynamic adjustment information adapted to the extruder flow channel characteristics; An execution adjustment unit is provided, which is used to adjust the parameters of the cooling actuator according to dynamic adjustment information.
8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the system according to any one of claims 1 to 7.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the system according to any one of claims 1 to 7.