Composite material high-temperature forming device capable of accurately controlling temperature in partitioned mode

Abstract

The invention relates to a composite material high-temperature forming device capable of accurately controlling temperature in regions, which is characterized by comprising a base (1), a top plate (12), a device shell (2) and a waste gas unit, wherein the waste gas unit comprises a gas conveying channel (13), a gas valve (14) and a cooler (15); the air valve (14) is installed at the end of the air conveying channel (13), and the cooler (15) is fixedly connected with the air conveying channel (13). The temperature controller 7 rapidly adjusts power output according to feedback of the sensor, the thermal stability of the device is kept, and therefore the forming and production efficiency of the composite material is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature control, and more particularly, to a high-temperature forming device for composite materials with precise temperature control in zones. Background Art

[0002] During the high-temperature forming process of composite materials, precise control of the device temperature is a key factor in ensuring the mechanical properties and forming quality of the materials. However, traditional devices have obvious deficiencies in temperature control. Due to the lack of precise temperature monitoring and zone control, traditional devices are difficult to meet the complex forming requirements of different composite materials. Especially during the curing process of multi-layer composite materials, temperature fluctuations can lead to defects such as interfacial peeling, internal bubbles, and resin loss. Moreover, the heating control uses a simple constant power output and cannot be dynamically adjusted according to the actual temperature change, resulting in a slow heating process and thus affecting the production efficiency of composite materials, thereby limiting their application in the manufacture of high-performance composite materials.

[0003] Therefore, how to provide a high-temperature forming device for composite materials with precise temperature control in zones is a technical problem that needs to be urgently solved by those skilled in the art. Summary of the Invention

[0004] In view of this, the present invention proposes a high-temperature forming device for composite materials with precise temperature control in zones, aiming to solve the problem of inaccurate temperature control during the forming process of composite materials by the device.

[0005] A high-temperature forming device for composite materials with precise temperature control in zones, characterized by comprising:

[0006] A base 1, a top plate 12, a device housing 2, and an exhaust gas unit; wherein the exhaust gas unit includes an air duct 13, a gas valve 14, and a cooler 15; the gas valve 14 is installed at the end of the air duct 13, and the cooler 15 is fixedly connected to the air duct 13;

[0007] The base 1 and the device housing 2 are fixedly connected; the air duct 13 passes through the top plate 12 and is fixedly connected to the top plate 12; one end of the device housing 2 is attached to the lower surface of the top plate 12, and the other end of the device housing 2 is fixedly connected to the upper surface of the base 1;

[0008] A first heating coil 3 is provided on the inner side surface of the device housing 2, a heat transfer layer 4 is provided on the inner side surface of the first heating coil 3, one end of the first heating coil 3 and the heat transfer layer 4 on the same horizontal plane is fixedly connected to the base 1, the other end of the first heating coil 3 and the heat transfer layer 4 on the same horizontal plane is attached to the top plate 12, and the space formed inside the heat transfer layer 4 is a heating chamber 5;

[0009] The inner side of the end of the heat transfer layer 4 is fixedly connected to both ends of the positioning platform 8, and a plurality of through holes 9 are formed in the positioning platform 8;

[0010] In the middle of the upper surface of the base 1, a heating groove 11 is formed. A second heating coil 10 is arranged inside the heating groove 11. The inner side of the heat transfer layer 4 is fixedly connected with a temperature sensor 6, and the outer side of the device housing 2 is fixedly connected with a temperature controller 7; There is an electrical connection between the first heating coil 3 and the temperature controller 7, and there is an electrical connection between the second heating coil 10 and the temperature controller 7; There is also an electrical connection between the temperature sensor 6 and the temperature controller 7, and the temperature controller 7 is used to control the first heating coil 3 and the second heating coil 10.

[0011] The temperature controller 7 includes: a first processing unit, a first adjustment unit, a second processing unit and a second adjustment unit;

[0012] The first processing unit is configured to collect the First temperature data of the temperature sensor 6, and preprocess the first temperature data. Based on the result of the preprocessing, determine the first target data, compare the first target data with the historical data, and judge whether to adjust the first target data according to the comparison result to obtain an adjustment result; The first adjustment unit is configured to adjust the first heating coil 3 based on the adjustment result;

[0013] The second processing unit is configured to collect the second temperature data of the temperature sensor 6, preprocess the second temperature data, determine the second target data based on the result of the preprocessing and compare it with the temperature output value, and judge whether to turn on the second heating coil 10 according to the comparison result;

[0014] After the second heating coil 10 is turned on for a set time interval, collect the third temperature data of the temperature sensor 6, preprocess the third temperature data, determine the third target data based on the result of the preprocessing and compare it with the temperature output value, and obtain an adjustment result by using a clustering algorithm; The second adjustment unit is configured to adjust the second heating coil 10 according to the adjustment result.

[0015] When collecting the first temperature data of the temperature sensor 6 and preprocessing the first temperature data, it includes:

[0016] The temperature sensor 6 detects the initial temperature of the heating chamber 5 and converts it into the first temperature data; Preprocess the first temperature data, and the preprocessing includes data cleaning and data standardization.

[0017] When comparing according to the first target data and historical data, it includes:

[0018] The historical data represents a data set of all historical first target data, and the first processing unit compares the first target data with the minimum value of the data in the data set to obtain the adjustment result; the adjustment result includes a first adjustment result and a second adjustment result.

[0019] When judging whether to adjust the first target data according to the comparison result to obtain an adjustment result, it includes:

[0020] When the first target data is greater than or equal to the minimum value of the data, it is judged that the first target data is not adjusted, and the first adjustment result is output;

[0021] When the first target data is less than the minimum value of the data, it is judged that the first target data is adjusted, and the second adjustment result is output.

[0022] When adjusting the first heating coil 3 based on the adjustment result, it includes:

[0023] When the output is the first adjustment result, the first adjustment unit maintains the output power of the first heating coil 3;

[0024] When the output is the second adjustment result, the first adjustment unit determines a power adjustment factor according to the mean value of the data set.

[0025] When the output is the second adjustment result and the first adjustment unit determines a power adjustment factor according to the mean value of the data set, it includes:

[0026] The first adjustment unit presets a first adjustment factor, a second adjustment factor, and a third adjustment factor; when the first target data is less than or equal to 0.5 times the mean value, the first adjustment factor is used as the power adjustment factor of the first heating coil 3;

[0027] When the first target data is greater than 0.5 times the mean value and less than 0.8 times the mean value, the second adjustment factor is used as the power adjustment factor of the first heating coil 3;

[0028] When the first target data is greater than or equal to 0.8 times the mean value of the data set, the third adjustment factor is used as the power adjustment factor of the first heating coil 3;

[0029] The first adjustment unit adjusts the output power of the first heating coil 3 according to the power adjustment factor.

[0030] When determining the second target data based on the result of preprocessing and comparing it with the temperature output value, and judging whether to turn on the second heating coil 10 according to the comparison result, it includes:

[0031] When the second target data is less than the temperature output value, it is judged to turn on the second heating coil 10; when the second target data is greater than or equal to the temperature output value, it is judged not to turn on the second heating coil 10.

[0032] When determining the third target data based on the result of preprocessing and comparing it with the temperature output value, and obtaining the adjustment result by using the clustering algorithm, it includes:

[0033] When the third target data is equal to the temperature output value, it is judged not to adjust the third target data; when the third target data is not equal to the temperature output value, it is judged to adjust the third target data and use the clustering algorithm to determine the power adjustment coefficient of the second heating coil 10.

[0034] When adjusting the first heating coil 3 based on the adjustment result, it includes:

[0035] Collect the actual power data of the second heating coil 10;

[0036] Obtain the characteristic data represented by the second heating coil 10 according to the historical temperature output value, and combine the characteristic data and the actual power data to establish an aggregated data set;

[0037] Extract the feature vector of each data in the aggregated data set and determine the power feature; determine that the expected number of clusters k is 3, and initialize the parameters of the Gaussian distribution; calculate the probability that each data in the aggregated data set belongs to each Gaussian distribution to obtain the responsibility value; select the cluster with the largest responsibility value and take the standard deviation as the power adjustment coefficient of the actual power data, and adjust the second heating coil 10 according to the power adjustment coefficient.

[0038] Compared with the prior art, the beneficial effects of the present invention are as follows: The first heating coil 3 on the side of the device housing 2 and the second heating coil 10 in the heating tank 11 are distributed at different positions of the device, enabling the temperature to be transmitted to different areas of the heating chamber 5, thereby achieving independent temperature control for the composite material forming. The temperature controller 7 monitors the actual temperature of the heating chamber 5 in real time by connecting to the temperature sensor 6, and precisely adjusts the first heating coil 3 and the second heating coil 10 to ensure the temperature control requirements during the composite material forming process, thus improving the forming efficiency. The heat transfer layer 4 ensures uniform heat transfer to the interior of the device, reducing the risk of forming failure caused by local overheating or uneven cooling. The temperature controller 7 quickly adjusts the power output according to the sensor feedback, maintaining the thermal stability of the device, thereby improving the composite material forming and production efficiency. The exhaust gas unit discharges the high-temperature exhaust gas during the forming process through the air duct 13 and the air valve 14, preventing thermal concentration inside the device. The cooler 15 cooperates with the air valve 14 to adjust the air flow temperature of the exhaust gas discharge, thereby extending the service life of the device and further ensuring the reliability of temperature regulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 FIG. is a sectional view of a high-temperature forming device for composite materials with partitioned precise temperature control provided by an embodiment of the present invention;

[0040] Figure 2 FIG. is a schematic structural diagram of the temperature controller 7 provided by an embodiment of the present invention;

[0041] In the figure, 1 is the base; 2 is the device housing 2; 3 is the first heating coil 3; 4 is the heat transfer layer 4; 5 is the heating chamber 5; 6 is the temperature sensor 6; 7 is the temperature controller 7; 8 is the positioning platform 8; 9 is the through hole 9; 10 is the second heating coil 10; 11 is the heating tank 11; 12 is the top plate 12; 13 is the air duct 13; 14 is the air valve 14; 15 is the cooler 15. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] The present invention provides a high-temperature forming device for composite materials with partitioned precise temperature control, comprising:

[0043] a base 1, a top plate 12, a device housing 2, and an exhaust gas unit;

[0044] The base 1 and the device housing 2 are fixedly connected, the exhaust gas unit and the top plate 12 are fixedly connected, one end of the device housing 2 is attached to the top plate 12, and the other end of the device housing 2 is fixedly connected to the base 1;

[0045] A first heating coil 3 is provided on the side of the device housing 2. A heat transfer layer 4 is provided on the side of the first heating coil 3. One end of the first heating coil 3 and the heat transfer layer 4 at the same horizontal level is fixedly connected to the base 1. The other end of the first heating coil 3 and the heat transfer layer 4 at the same horizontal level is in contact with the top plate 12. A temperature rising chamber 5 is provided in the heat transfer layer 4;

[0046] The heat transfer layer 4 is fixedly connected to a positioning platform 8. A plurality of through holes 9 are provided in the positioning platform 8;

[0047] The exhaust gas unit includes an air duct 13, a gas valve 14 and a cooler 15;

[0048] The gas valve 14 is in contact with the air duct 13. The cooler 15 is fixedly connected to the air duct 13;

[0049] A heating groove 11 is provided in the base 1. A second heating coil 10 is provided inside the heating groove 11. A temperature sensor 6 is fixedly connected to the side of the heat transfer layer 4. A temperature controller 7 is fixedly connected to the side of the device housing 2. The first heating coil 3 is electrically connected to the temperature controller 7. The second heating coil 10 is electrically connected to the temperature controller 7. The temperature sensor 6 is electrically connected to the temperature controller 7. The temperature controller 7 is used to control the first heating coil 3 and the second heating coil 10.

[0050] Further, the temperature controller 7 includes: a first processing unit, a first regulating unit, a second processing unit and a second regulating unit;

[0051] The first processing unit is configured to collect first temperature data of the temperature sensor 6, preprocess the first temperature data, determine first target data based on the result of the preprocessing, compare the first target data with historical data, and determine whether to adjust the first target data according to the comparison result to obtain an adjustment result;

[0052] The first regulating unit is configured to regulate the first heating coil 3 based on the adjustment result;

[0053] The second processing unit is configured to collect second temperature data of the temperature sensor 6, preprocess the second temperature data, determine second target data based on the result of the preprocessing and compare it with a temperature output value, and determine whether to turn on the second heating coil 10 according to the comparison result;

[0054] After the second heating coil 10 is turned on for a set time interval, the third temperature data of the temperature sensor 6 is collected, and the third temperature data is preprocessed. Based on the result of the preprocessing, the third target data is determined and compared with the temperature output value, and an adjustment result is obtained using a clustering algorithm;

[0055] The second adjustment unit is configured to adjust the second heating coil 10 according to the adjustment result.

[0056] Further, when collecting the first temperature data of the temperature sensor 6 and preprocessing the first temperature data, it includes:

[0057] The temperature sensor 6 detects the initial temperature of the temperature rising chamber 5 and converts it into first temperature data;

[0058] The first temperature data is preprocessed, and the preprocessing includes data cleaning and data standardization.

[0059] Further, when comparing the first target data with historical data, it includes: the historical data represents a data set of all historical first target data, and the first processing unit compares the first target data with the minimum value of the data in the data set to obtain the adjustment result;

[0060] The adjustment result includes a first adjustment result and a second adjustment result.

[0061] Further, when determining whether to adjust the first target data according to the comparison result to obtain an adjustment result, it includes:

[0062] When the first target data is greater than or equal to the minimum value of the data, it is determined not to adjust the first target data, and the first adjustment result is output;

[0063] When the first target data is less than the minimum value of the data, it is determined to adjust the first target data, and the second adjustment result is output.

[0064] Further, when adjusting the first heating coil 3 based on the adjustment result, it includes:

[0065] When the output is the first adjustment result, the first adjustment unit maintains the output power of the first heating coil 3;

[0066] When the output is the second adjustment result, the first adjustment unit determines a power adjustment factor according to the mean value of the data set.

[0067] Further, when the output is the second adjustment result, when the first adjustment unit determines the power adjustment factor according to the mean value of the data set, it includes:

[0068] The first adjustment unit pre-sets a first adjustment factor, a second adjustment factor, and a third adjustment factor;

[0069] When the first target data is less than or equal to 0.5 times the mean value, the first adjustment factor is used as the power adjustment factor of the first heating coil 3;

[0070] When the first target data is greater than 0.5 times the mean value and less than 0.8 times the mean value, the second adjustment factor is used as the power adjustment factor of the first heating coil 3;

[0071] When the first target data is greater than or equal to 0.8 times the mean value of the data set, the third adjustment factor is used as the power adjustment factor of the first heating coil 3;

[0072] The first adjustment unit adjusts the output power of the first heating coil 3 according to the power adjustment factor.

[0073] Further, when determining the second target data based on the result of preprocessing and comparing it with the temperature output value, and judging whether to turn on the second heating coil 10 according to the comparison result, it includes:

[0074] When the second target data is less than the temperature output value, it is judged to turn on the second heating coil 10;

[0075] When the second target data is greater than or equal to the temperature output value, it is judged not to turn on the second heating coil 10.

[0076] Further, when determining the third target data based on the result of preprocessing and comparing it with the temperature output value, and obtaining the adjustment result by using the clustering algorithm, it includes:

[0077] When the third target data is equal to the temperature output value, it is judged not to adjust the third target data;

[0078] When the third target data is not equal to the temperature output value, it is judged to adjust the third target data and determine the power adjustment coefficient of the second heating coil 10 by using the clustering algorithm.

[0079] Further, when adjusting the first heating coil 3 based on the adjustment result, it includes:

[0080] Collect the actual power data of the second heating coil 10 described above;

[0081] Obtain the representative characteristic data of the second heating coil 10 according to the historical temperature output value, and combine the characteristic data and the actual power data to establish an aggregated data set;

[0082] Extract the feature vectors of each data in the aggregated data set and determine the power characteristics;

[0083] Determine that the desired number of clusters k is 3, and initialize the parameters of the Gaussian distribution;

[0084] Calculate the probability that each data in the aggregated data set belongs to each Gaussian distribution to obtain the responsibility value; select the cluster with the largest responsibility value and take the standard deviation as the power adjustment coefficient of the actual power data, and adjust the second heating coil 10 according to the power adjustment coefficient.

[0085] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be fully conveyed to those skilled in the art. It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the drawings and in combination with the embodiments.

[0086] Refer to Figure 1As shown, in some embodiments of the present application, a high-temperature forming device for a composite material with partitioned precise temperature control includes: a base 1, a top plate 12, a device housing 2, and an exhaust gas unit. The base 1 and the device housing 2 are fixedly connected, and the exhaust gas unit and the top plate 12 are fixedly connected. One end of the device housing 2 abuts against the top plate 12, and the other end of the device housing 2 is fixedly connected to the base 1. A first heating coil 3 is provided on the side of the device housing 2, and a heat transfer layer 4 is provided on the side of the first heating coil 3. One end of the first heating coil 3 and the heat transfer layer 4 on the same horizontal plane is fixedly connected to the base 1, and the other end of the first heating coil 3 and the heat transfer layer 4 on the same horizontal plane abuts against the top plate 12. A heating-up chamber 5 is provided in the heat transfer layer 4, and the heat transfer layer 4 is fixedly connected to a positioning platform 8. A plurality of through holes 9 are formed in the positioning platform 8. The exhaust gas unit includes an air duct 13, a valve 14, and a cooler 15. The valve 14 abuts against the air duct 13, and the cooler 15 is fixedly connected to the air duct 13. A heating groove 11 is formed in the base 1, and a second heating coil 10 is provided inside the heating groove 11. A temperature sensor 6 is fixedly connected to the side of the heat transfer layer 4, and a temperature controller 7 is fixedly connected to the side of the device housing 2. The first heating coil 3 is electrically connected to the temperature controller 7, the second heating coil 10 is electrically connected to the temperature controller 7, and the temperature sensor 6 is electrically connected to the temperature controller 7. The temperature controller 7 is used to control the first heating coil 3 and the second heating coil 10.

[0087] Specifically, the base 1 is a support component for the entire device, providing a stable support function. One end of the device housing 2 is fixedly connected to the base 1, ensuring the stability and sealing of the high-temperature environment inside the device. The exhaust gas unit consists of an air duct 13, a valve 14, and a cooler 15. By opening the valve 14, the effective discharge of exhaust gas can be ensured, preventing the accumulation of exhaust gas during the forming process of the composite material and affecting the forming effect. Heating coils are provided on the side of the device housing 2 and inside the base 1. The functions of the first heating coil 3 and the second coil are to manage the heating process in partitions, ensuring the uniformity of the temperature distribution inside the device. The first heating coil 3 and the second coil can achieve local heating in different regions, thereby meeting the temperature control requirements during the forming process of the composite material. The through holes 9 are preferably five in number, enabling the heat of the second heating coil 10 to be evenly transferred to the positioning platform 8. Open the top plate 12 and place the composite material on the positioning platform 8. After placement, close the top plate 12 to complete the placement of the composite material. The function of the heat transfer layer 4 is to ensure that the heat of the first heating coil 3 can be evenly transferred to the heating-up chamber 5, and the heating-up chamber 5 provides a stable space for the forming of the composite material, avoiding the influence of external temperature changes on the forming effect. The temperature sensor 6 provides a basis for the precise control of temperature. By continuously monitoring the temperature of the heating-up chamber 5, the temperature sensor 6 can transmit information to the temperature controller 7, enabling the temperature controller 7 to automatically adjust the heating intensity of the heating coil according to requirements, thereby achieving precise temperature control and ensuring the stability and consistency of the composite material during the forming process.

[0088] It can be understood that through the zonal heating of the first heating coil 3 and the second coil and the adjustment of the temperature controller 7, the device can reduce energy waste while ensuring the forming quality. The exhaust gas unit can also effectively discharge the waste hot air, further ensuring the forming quality of the composite material. Since the temperature is controlled in zones, the forming time of the composite material is shortened, the forming efficiency of the composite material is improved, and the device is prevented from being affected by excessive thermal stress during long-term high-temperature operation, thereby extending the service life of the device. Moreover, different types of composite materials have different thermal properties and different temperature requirements. By means of zonal temperature control, flexible adjustment can be made according to the requirements of different materials and forming processes, improving the flexibility and reliability of the device.

[0089] Refer to Figure 2 As shown, in some embodiments of the present application, the temperature controller 7 includes: a first processing unit, a first adjustment unit, a second processing unit, and a second adjustment unit. The first processing unit is configured to collect the first temperature data of the temperature sensor 6, preprocess the first temperature data, determine the first target data based on the result of the preprocessing, compare the first target data with the historical data, and judge whether to adjust the first target data according to the comparison result to obtain an adjustment result. The first adjustment unit is configured to adjust the first heating coil 3 based on the adjustment result. The second processing unit is configured to collect the second temperature data of the temperature sensor 6, preprocess the second temperature data, determine the second target data based on the result of the preprocessing and compare it with the temperature output value, judge whether to turn on the second heating coil 10 according to the comparison result. When the second heating coil 10 is turned on for a set time interval, collect the third temperature data of the temperature sensor 6, preprocess the third temperature data, determine the third target data based on the result of the preprocessing and compare it with the temperature output value, and obtain an adjustment result by using a clustering algorithm. The second adjustment unit is configured to adjust the second heating coil 10 according to the adjustment result.

[0090] Specifically, four units jointly construct the temperature controller 7, aiming to achieve precise temperature regulation. The first processing unit is responsible for collecting the first temperature data from the temperature sensor 6. The first temperature data refers to the actual temperature value of the heating chamber 5 after the first heating coil 3 is turned on. After collecting the first temperature data, the first processing unit preprocesses the temperature data for subsequent analysis and judgment, and then generates the first target data according to the preprocessing result. The first target data is compared and analyzed with the historical data. Based on the comparison result, it is judged whether the first target data needs to be adjusted, ensuring the accuracy and controllability of the temperature in the heating chamber 5. The obtained adjustment result is transmitted to the first adjustment unit. After receiving the adjustment result, the first adjustment unit dynamically adjusts the first heating coil 3 to meet the precise control of the composite material forming temperature. The second processing unit is responsible for collecting the second temperature data from the temperature sensor 6. The second temperature data refers to the actual temperature value of the heating chamber 5 after the first heating coil 3 is adjusted. Similarly, the second temperature data is preprocessed to exclude interference data and improve data quality, so as to determine the second target data, and compare it with the required temperature output value. According to this comparative analysis, it is judged whether the second heating coil 10 needs to be started. If it is judged that the second heating coil 10 needs to be turned on, the second processing unit will issue a start command, and the set time interval is three minutes, which can be dynamically adjusted according to actual needs. After the second heating coil 10 operates for three minutes, the second processing unit collects the third temperature data of the temperature sensor 6. The third temperature data refers to the actual temperature value of the heating chamber 5 three minutes after the second heating coil 10 is turned on. The third temperature data is preprocessed to obtain the third target data and compared with the temperature output value. Based on the third target data, a clustering algorithm is used to further analyze the data. The clustering algorithm can identify the regular patterns in the data, so as to accurately obtain the adjustment result. The adjustment result is transmitted to the second adjustment unit, so as to perform corresponding adjustment on the second heating coil 10. This closed-loop control ensures the temperature requirements of the composite material during the forming process.

[0091] It can be understood that the temperature controller 7 ensures the accuracy of temperature regulation through multiple data acquisitions, preprocessing, comparison and analysis, combined with historical data and temperature output values. Moreover, the use of a clustering algorithm to intelligently analyze temperature data can dynamically adjust the working state of the second heating coil 10. Regardless of how the temperature in the heating chamber 5 changes, it can respond quickly, thereby maintaining the stability and reliability of the forming temperature.

[0092] In some embodiments of the present application, when collecting the first temperature data of the temperature sensor 6 and preprocessing the first temperature data, it includes: the temperature sensor 6 detects the initial temperature of the heating chamber 5 and converts it into the first temperature data, and preprocesses the first temperature data, where the preprocessing includes data cleaning and data standardization.

[0093] In some embodiments of the present application, when comparing the first target data with historical data, it includes: the historical data represents a data set of all historical first target data, and the first processing unit compares the first target data with the minimum value of the data in the data set to obtain an adjustment result, where the adjustment result includes a first adjustment result and a second adjustment result.

[0094] It can be understood that data cleaning is to remove the outliers and error data in the data to ensure the accuracy and reliability of the first target data. Data standardization reduces the error caused by the unit or data range difference during the monitoring of the temperature sensor 6, further improving the accuracy of the first target data. By comparing the first target data with the minimum value of the data in the data set, the occurrence of extreme temperature situations is avoided, thereby maintaining the temperature of the heating chamber 5 within a reasonable range and reducing the risk of composite material forming failure caused by low temperature. The adjustment result is divided into a first adjustment result and a second adjustment result, which helps to implement a multi-level adjustment strategy for different degrees of temperature deviation, enabling the temperature controller 7 to maintain the efficiency and stability of temperature adjustment in a complex operating environment.

[0095] In some embodiments of the present application, when determining whether to adjust the first target data according to the comparison result to obtain an adjustment result, it includes: when the first target data is greater than or equal to the data minimum value, it is determined not to adjust the first target data, and the first adjustment result is output; when the first target data is less than the data minimum value, it is determined to adjust the first target data, and the second adjustment result is output.

[0096] In some embodiments of the present application, when adjusting the first heating coil 3 based on the adjustment result, it includes: when the output is the first adjustment result, the first adjustment unit maintains the output power of the first heating coil 3; when the output is the second adjustment result, the first adjustment unit determines a power adjustment factor according to the mean value of the data set.

[0097] It can be understood that when the first target data is greater than or equal to the minimum value of the historical data set, it is determined that the actual temperature of the heating-up chamber 5 is within the normal range, the first adjustment result is output, and the current output power of the first heating coil 3 is maintained, avoiding unnecessary adjustments and reducing the impact of temperature fluctuations on the composite material forming. When the first target data is less than the minimum value of the historical data set, it is determined that the actual temperature of the heating-up chamber 5 is lower than the lowest value of the historical temperature, and the output power of the first heating coil 3 needs to be adjusted. By calculating the mean value of the historical data set, the power adjustment factor is determined, and the output power of the first heating coil 3 is dynamically adjusted, improving the accuracy and intelligence of temperature control.

[0098] In some embodiments of the present application, when the output is the second adjustment result, when the first adjustment unit determines the power adjustment factor according to the mean value of the data set, it includes: the first adjustment unit pre-sets the first adjustment factor, the second adjustment factor and the third adjustment factor. When the first target data is less than or equal to 0.5 times the mean value, the first adjustment factor is used as the power adjustment factor of the first heating coil 3. When the first target data is greater than 0.5 times the mean value and less than 0.8 times the mean value, the second adjustment factor is used as the power adjustment factor of the first heating coil 3. When the first target data is greater than or equal to 0.8 times the mean value of the data set, the third adjustment factor is used as the power adjustment factor of the first heating coil 3. The first adjustment unit adjusts the output power of the first heating coil 3 according to the power adjustment factor.

[0099] It can be understood that the first adjustment factor is preferably 2, the second adjustment factor is preferably 1.5, and the third adjustment factor is preferably 1.2. When the first target data is less than or equal to 0.5 times the mean value, it means that the difference between the first target data and the mean value of the data set is the largest, and the first adjustment factor is selected to quickly increase the output power of the first heating coil 3 and restore the current temperature of the heating-up chamber 5 to the normal temperature range. When the first target data is greater than 0.5 times the mean value and less than 0.8 times the mean value, it means that the difference between the first target data and the mean value of the data set is moderate, and the second adjustment factor is selected to increase the output power of the first heating coil 3. When the first target data is greater than or equal to 0.8 times the mean value of the data set, it means that the difference between the first target data and the mean value of the data set is the smallest, and the third adjustment factor is selected to increase the output power of the first heating coil 3. The adjustment process is the product of the power adjustment factor and the current output power of the first heating coil 3. Through dynamic adjustment, the accuracy and reliability of temperature control are improved, thus meeting the temperature requirements for composite material forming.

[0100] In some embodiments of the present application, when determining the second target data based on the result of preprocessing, comparing it with the temperature output value, and judging whether to turn on the second heating coil 10 according to the comparison result, it includes: when the second target data is less than the temperature output value, judging to turn on the second heating coil 10; when the second target data is greater than or equal to the temperature output value, judging not to turn on the second heating coil 10.

[0101] It can be understood that the temperature output value represents the actual temperature value required in the composite material forming process. When the second target data is less than the temperature output value, it is necessary to turn on the second heating coil 10 for continuous heating to ensure the forming effect of the composite material. When the second target data is greater than or equal to the temperature output value, it is not necessary to turn on the second heating coil 10, and only wait for the first heating coil 3 to cool, ensuring the temperature control requirement for the composite material forming and improving the forming efficiency of the composite material.

[0102] In some embodiments of the present application, when determining the third target data based on the result of preprocessing, comparing it with the temperature output value, and obtaining the adjustment result by using the clustering algorithm, it includes: when the third target data is equal to the temperature output value, judging not to adjust the third target data; when the third target data is not equal to the temperature output value, judging to adjust the third target data and using the clustering algorithm to determine the power adjustment coefficient of the second heating coil 10.

[0103] In some embodiments of the present application, when adjusting the first heating coil 3 based on the adjustment result, it includes: collecting the actual power data of the second heating coil 10, obtaining the characteristic data represented by the second heating coil 10 according to the historical temperature output value, combining the characteristic data and the actual power data to establish an aggregated data set, extracting the feature vectors of each data in the aggregated data set and determining the power characteristics, determining that the expected number of clusters k is 3, initializing the parameters of the Gaussian distribution, calculating the probability that each data in the aggregated data set belongs to each Gaussian distribution to obtain the responsibility value, selecting the cluster with the largest responsibility value and taking the standard deviation as the power adjustment coefficient of the actual power data, and adjusting the second heating coil 10 according to the power adjustment coefficient.

[0104] It can be understood that when three minutes after the second heating coil 10 is turned on, the third target data is equal to the temperature output value, it is determined that the third target data is not adjusted. At this time, the actual temperature value of the heating chamber 5 conforms to the temperature of the composite material, and there is no need to adjust the second heating coil 10. When the third target data is not equal to the temperature output value, there is a temperature adjustment deviation, and the third target data needs to be adjusted. The power adjustment coefficient of the second heating coil 10 is determined through a clustering algorithm, thereby realizing the adjustment process. By collecting the actual power data of the second heating coil 10 and generating feature data in combination with the temperature output value, an aggregated data set is established to ensure that the power adjustment of the second heating coil 10 is based on real operation data and historical performance, improving the accuracy of temperature adjustment. The feature vectors in the aggregated data set are extracted to identify the correlation between the power and temperature of the second heating coil 10, ensuring that different power requirements can be dynamically adapted according to the temperature change in the heating chamber 5. Through power feature extraction, the operating state of the second heating coil 10 can be evaluated, improving the intelligent level of temperature control. The Gaussian distribution model is used for clustering analysis, considering the probability distribution of different power data of the second heating coil 10, ensuring the reliability of the obtained power adjustment coefficient. Selecting the largest cluster according to the responsibility value and selecting the standard deviation as the power adjustment coefficient can effectively measure the dispersion degree of power output, thereby adjusting the actual power of the second heating coil 10, improving the scientificity and stability of the adjustment of the second heating coil 10, meeting the temperature control requirements of the composite material, and thus improving the efficiency of composite material forming.

[0105] In summary, the beneficial effects of the present invention are as follows: The first heating coil on the side of the device housing and the second heating coil in the heating tank are distributed at different positions of the device, enabling the temperature to be transferred to different areas of the heating chamber, thereby achieving independent temperature control for composite material forming. The temperature controller is connected to the temperature sensor to monitor the actual temperature of the heating chamber in real time and precisely adjust the first heating coil and the second heating coil, ensuring the temperature control requirements during the composite material forming process and thus improving the forming efficiency. The heat transfer layer ensures uniform heat transfer to the interior of the device, reducing the risk of forming failure caused by local overheating or uneven cooling. The temperature controller quickly adjusts the power output according to the sensor feedback, maintaining the thermal stability of the device, thereby improving the composite material forming and production efficiency. The exhaust gas unit discharges the high-temperature exhaust gas during the forming process through the air duct and the air valve, preventing thermal concentration inside the device. The cooler cooperates with the air valve to adjust the airflow temperature of the exhaust gas discharge, thereby extending the service life of the device and further ensuring the reliability of temperature adjustment.

[0106] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0107] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams can be implemented by computer program instructions, and the combination of flows and / or blocks in the flowcharts and / or block diagrams can also be implemented. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0108] These computer program instructions can also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable storage medium generate a manufactured article including instruction means, and the instruction means implements the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0109] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0110] By reading the detailed description of the preferred embodiments below, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present invention. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings:

[0111] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications or equivalent substitutions can still be made to the specific implementation manners of the present invention, and any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A composite material high temperature molding device capable of precise temperature control in different zones, characterized in that: include: A base (1), a top plate (12), a device housing (2) and an exhaust unit; wherein the exhaust unit comprises an air delivery channel (13), an air valve (14) and a cooler (15); the air valve (14) is installed at the end of the air delivery channel (13), and the cooler (15) is fixedly connected to the air delivery channel (13); The base (1) and the device housing (2) are fixedly connected; the gas delivery channel (13) passes through the top plate (12) and is fixedly connected to the top plate (12); one end of the device housing (2) is attached to the lower surface of the top plate (12), and the other end of the device housing (2) is fixedly connected to the upper surface of the base (1); A first heating coil (3) is arranged on the inner side of the device shell (2), and a heat transfer layer (4) is arranged on the inner side of the first heating coil (3); one end of the first heating coil (3) and the heat transfer layer (4) on the same horizontal plane is fixedly connected to the base (1), and the other end of the first heating coil (3) and the heat transfer layer (4) on the same horizontal plane is attached to the top plate (12); the space formed inside the heat transfer layer (4) is a heating chamber (5); The inner side of the end of the heat transfer layer (4) is fixedly connected to the two ends of the positioning platform (8), and a plurality of through holes (9) are provided on the positioning platform (8); A heating groove (11) is provided in the middle of the upper surface of the base (1), a second heating coil (10) is arranged inside the heating groove (11), a temperature sensor (6) is fixedly connected to the inner side of the heat transfer layer (4), and a temperature controller (7) is fixedly connected to the outer side of the device shell (2); there is a circuit connection between the first heating coil (3) and the temperature controller (7), and there is a circuit connection between the second heating coil (10) and the temperature controller (7); there is also a circuit connection between the temperature sensor (6) and the temperature controller (7), and the temperature controller (7) is used to control the first heating coil (3) and the second heating coil (10).

2. The composite material high temperature forming device capable of zoned precise temperature control according to claim 1 is characterized in that: The temperature controller (7) comprises: a first processing unit, a first regulating unit, a second processing unit and a second regulating unit; The first processing unit is configured to collect first temperature data of the temperature sensor (6), pre-process the first temperature data, determine first target data based on the pre-processing result, compare the first target data with historical data, and determine whether to adjust the first target data based on the comparison result to obtain an adjustment result; the first adjustment unit is configured to adjust the first heating coil (3) based on the adjustment result; The second processing unit is configured to collect second temperature data from the temperature sensor (6), pre-process the second temperature data, determine second target data based on the pre-processing result and compare the data with the temperature output value, and determine whether to turn on the second heating coil (10) based on the comparison result; When the second heating coil (10) is turned on for a set time interval, third temperature data of the temperature sensor (6) is collected, and the third temperature data is preprocessed. Based on the result of the preprocessing, third target data is determined and compared with the temperature output value, and an adjustment result is obtained by using a clustering algorithm; the second adjustment unit is configured to adjust the second heating coil (10) according to the adjustment result.

3. The composite material high temperature forming device capable of zoned precise temperature control according to claim 2 is characterized in that: When collecting the first temperature data of the temperature sensor (6) and preprocessing the first temperature data, it includes: The temperature sensor (6) detects the initial temperature of the heating chamber (5) and converts it into first temperature data; the first temperature data is preprocessed, and the preprocessing includes data cleaning and data standardization.

4. The composite material high temperature forming device capable of zoned precise temperature control according to claim 3 is characterized in that: When comparing the first target data with historical data, it includes: the historical data represents a data set of all historical first target data, and the first processing unit compares the first target data with the data minimum value of the data set to obtain the adjustment result; the adjustment result includes a first adjustment result and a second adjustment result.

5. The composite material high temperature forming device capable of zoned precise temperature control according to claim 4 is characterized in that: When judging whether to adjust the first target data to obtain the adjustment result according to the comparison result, it includes: when the first target data is greater than or equal to the minimum data value, judging not to adjust the first target data, and outputting the first adjustment result; when the first target data is less than the minimum data value, judging to adjust the first target data, and outputting the second adjustment result.

6. The composite material high temperature forming device capable of zoned precise temperature control according to claim 5 is characterized in that: When the first heating coil (3) is adjusted based on the adjustment result, it includes: when the output is the first adjustment result, the first adjustment unit maintains the output power of the first heating coil (3); when the output is the second adjustment result, the first adjustment unit determines the power adjustment factor according to the mean value of the data set.

7. The composite material high temperature forming device capable of zoned precise temperature control according to claim 6 is characterized in that: When the output is the second adjustment result, the first adjustment unit determines the power adjustment factor according to the mean value of the data set, including: The first adjustment unit pre-sets a first adjustment factor, a second adjustment factor and a third adjustment factor; when the first target data is less than or equal to 0.5 times the mean value, the first adjustment factor is used as the power adjustment factor of the first heating coil (3); When the first target data is greater than 0.5 times the mean value and less than 0.8 times the mean value, the second adjustment factor is used as the power adjustment factor of the first heating coil (3); When the first target data is greater than or equal to 0.8 times the mean of the data set, the third adjustment factor is used as the power adjustment factor of the first heating coil (3); the first adjustment unit adjusts the output power of the first heating coil (3) according to the power adjustment factor.

8. The composite material high temperature forming device capable of precise temperature control in different zones according to claim 7 is characterized in that: Determining the second target data based on the preprocessing result and comparing it with the temperature output value, and judging whether to turn on the second heating coil (10) according to the comparison result, comprises: When the second target data is smaller than the temperature output value, it is determined that the second heating coil (10) is turned on; when the second target data is greater than or equal to the temperature output value, it is determined that the second heating coil (10) is not turned on.

9. The composite material high temperature forming device capable of zoned precise temperature control according to claim 8, characterized in that: When the third target data is determined based on the result of preprocessing and compared with the temperature output value, and the adjustment result is obtained by using a clustering algorithm, it includes: when the third target data is equal to the temperature output value, it is determined that the third target data is not adjusted; when the third target data is not equal to the temperature output value, it is determined that the third target data is adjusted and the power adjustment coefficient of the second heating coil (10) is determined by using a clustering algorithm.

10. The composite material high temperature forming device capable of zoned precise temperature control according to claim 9, characterized in that: When adjusting the first heating coil (3) based on the adjustment result, the method comprises: collecting actual power data of the second heating coil (10); obtaining representative characteristic data of the second heating coil (10) according to historical temperature output values, and combining the characteristic data and the actual power data to establish an aggregated data set; Extract the characteristic vector of each data in the aggregated data set and determine the power characteristics; determine the expected number of clusters k as (3), and initialize the parameters of the Gaussian distribution; calculate the probability that each data in the aggregated data set belongs to each Gaussian distribution, and obtain the responsibility value; select the cluster with the largest responsibility value and take the standard deviation as the power adjustment coefficient of the actual power data, and adjust the second heating coil (10) according to the power adjustment coefficient.

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