Intelligent temperature control method, device and equipment for composite material forming, storage medium and program product

Abstract

The invention discloses an intelligent temperature control method and device for composite material forming, equipment, a storage medium and a program product, and relates to the technical field of material manufacturing, and the intelligent temperature control method for composite material forming comprises the steps that temperature distribution data in the composite material pultrusion process is obtained; determining temperature distribution uniformity parameters and a temperature gradient map in the composite material forming process based on the temperature distribution data; determining the regional heating efficiency according to the temperature distribution uniformity parameter and the temperature gradient map; and performing temperature control on the pultrusion process of the composite material based on the area heating efficiency. Due to the fact that the power of different heating areas is adjusted in real time in combination with temperature distribution data, self-adaptive dynamic temperature adjustment is achieved, and the temperature uniformity in the pultrusion process is improved.

Description

Technical Field

[0001] The present application relates to the field of material manufacturing technology, and in particular to intelligent temperature control methods, devices, equipment, storage media and program products for composite material molding. Background Art

[0002] In the field of composite material processing and manufacturing, temperature control is a core process parameter throughout the entire cycle of material synthesis, molding and curing. Currently, in the pultrusion process, profile heating usually relies on fixed-power heaters or zone-controlled heating systems.

[0003] However, due to factors such as differences in material thermal conductivity and uneven temperature field distribution, local areas may be overheated or underheated, and large residual stresses may accumulate, which can easily cause deformation and cracking. Summary of the Invention

[0004] The main purpose of this application is to provide an intelligent temperature control method, device, equipment, storage medium and program product for composite material molding, aiming to solve the technical problems that the existing intelligent temperature control method for composite material molding is prone to overheating in local areas and easily causes deformation and cracking.

[0005] To achieve the above objectives, the present application proposes an intelligent temperature control method for composite material molding, the intelligent temperature control method for composite material molding comprising:

[0006] Obtain temperature distribution data during composite pultrusion;

[0007] Determining a temperature distribution uniformity parameter and a temperature gradient diagram during the composite material molding process based on the temperature distribution data;

[0008] determining a regional heating efficiency based on the temperature distribution uniformity parameter and the temperature gradient map;

[0009] The pultrusion process of the composite material is temperature controlled based on the regional heating efficiency.

[0010] In one implementation, the temperature distribution uniformity parameters include: temperature mean, temperature variance, and temperature change rate;

[0011] The step of determining the temperature distribution uniformity parameter and the temperature gradient diagram during the composite material molding process based on the temperature distribution data includes:

[0012] Determining a temperature mean and a temperature variance during a composite material molding process based on the temperature distribution data;

[0013] determining a three-dimensional gradient during the composite material forming process based on the temperature distribution data;

[0014] The temperature change rate and the temperature gradient diagram during the composite material molding process are determined according to the temperature mean, the temperature variance and the three-dimensional gradient.

[0015] In one implementation, the step of determining the regional heating efficiency based on the temperature distribution uniformity parameter and the temperature gradient map includes:

[0016] Obtain target temperature mean range and target temperature variance threshold range for composite material molding;

[0017] Determining a hotspot expansion trend based on the target temperature mean range, the target variance threshold range, the temperature gradient map, and the temperature change rate;

[0018] Obtain historical regional heating efficiency data;

[0019] The regional heating efficiency of each region during the composite material molding process is determined based on the historical regional heating efficiency data and the hot spot expansion trend.

[0020] In one implementation, the step of obtaining temperature distribution data during the composite material pultrusion process includes:

[0021] Acquire temperature image data of composite material molding;

[0022] Preprocessing the temperature image data to obtain preprocessed temperature image data;

[0023] Extracting effective areas from the pre-processed temperature image data to obtain effective area temperature data;

[0024] The effective area temperature data is divided into boundaries based on a preset temperature threshold to obtain temperature distribution data.

[0025] In one implementation, the step of preprocessing the temperature image data to obtain preprocessed temperature image data includes:

[0026] performing denoising processing on the temperature image data to obtain denoised temperature data;

[0027] The denoised temperature data is compensated based on the current ambient temperature to obtain preprocessed temperature image data.

[0028] In one implementation, the method further includes:

[0029] The regional heating efficiency is stored as a historical regional heating efficiency in a preset database.

[0030] In addition, to achieve the above-mentioned purpose, the present application also proposes an intelligent temperature control device for composite material molding, wherein the intelligent temperature control device for composite material molding comprises:

[0031] A data acquisition module, used to obtain temperature distribution data during the composite material pultrusion process;

[0032] a data processing module, configured to determine a temperature distribution uniformity parameter and a temperature gradient diagram during the composite material molding process based on the temperature distribution data;

[0033] a temperature determination module, configured to determine a regional heating efficiency based on the temperature distribution uniformity parameter and the temperature gradient map;

[0034] A temperature control module is used to perform temperature control during the pultrusion process of the composite material based on the regional heating efficiency.

[0035] In addition, to achieve the above-mentioned purpose, the present application also proposes an intelligent temperature control device for composite material molding, which includes: a memory, a processor, and a computer program stored on the memory and runnable on the processor, and the computer program is configured to implement the steps of the intelligent temperature control method for composite material molding as described above.

[0036] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the intelligent temperature control method for composite material molding as described above are implemented.

[0037] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the steps of the intelligent temperature control method for composite material molding as described above.

[0038] One or more technical solutions proposed in this application have at least the following technical effects:

[0039] This application obtains temperature distribution data during the composite material pultrusion process; determines the temperature distribution uniformity parameter and temperature gradient diagram during the composite material molding process based on the temperature distribution data; determines the regional heating efficiency based on the temperature distribution uniformity parameter and temperature gradient diagram; and controls the temperature of the composite material pultrusion molding process based on the regional heating efficiency. By combining the temperature distribution data and adjusting the power of different heating zones in real time, adaptive temperature dynamic regulation is achieved, thereby improving temperature uniformity during the pultrusion molding process. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0041] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0042] Figure 1 A schematic diagram of a process flow diagram provided for Example 1 of the intelligent temperature control method for composite material molding of this application;

[0043] Figure 2 A schematic diagram of a process flow diagram provided for Example 2 of the intelligent temperature control method for composite material molding of this application;

[0044] Figure 3 A schematic diagram of a process flow diagram provided for Example 3 of the intelligent temperature control method for composite material molding of this application;

[0045] Figure 4 This is a schematic diagram of the module structure of the intelligent temperature control device for composite material molding according to an embodiment of the present application;

[0046] Figure 5 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the intelligent temperature control method for composite material molding in the embodiment of the present application.

[0047] The purpose, features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0048] It should be understood that the specific embodiments described herein are merely used to explain the technical solutions of the present application and are not intended to limit the present application.

[0049] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0050] The main solutions of the embodiments of the present application are: obtaining temperature distribution data during the pultrusion molding process of the composite material; determining the temperature distribution uniformity parameters and temperature gradient diagram during the composite material molding process based on the temperature distribution data; determining the regional heating efficiency based on the temperature distribution uniformity parameters and the temperature gradient diagram; and controlling the temperature of the pultrusion molding process of the composite material based on the regional heating efficiency.

[0051] Currently, in the pultrusion process, the heating of profiles usually relies on fixed-power heaters or zone-controlled heating systems. However, due to differences in the thermal conductivity of the materials and the difficulty in achieving precise control of the heating system, the temperature distribution on the mold surface and inside the profile is often uneven, resulting in overheating or insufficient heating in local areas. At the same time, due to the uneven temperature field, the thermal expansion and curing rates of different areas inside the profile are inconsistent, resulting in large residual stress accumulation, which can easily cause deformation and cracking. In addition, the current pultrusion process usually relies on thermocouples or embedded sensors to monitor the temperature. These methods have limitations and cannot accurately obtain the temperature distribution inside the profile. The feedback is delayed and it is difficult to dynamically adjust the heating power.

[0052] In some implementations of this application, high-resolution infrared thermal imagers are used to obtain contactless temperature distribution data on the mold surface and inside the profile, with far greater accuracy than using only traditional thermocouples. This enables comprehensive temperature monitoring, including temperatures in all mold zones and on the profile surface and interior, providing complete thermal field distribution information.

[0053] In some implementations of this application, by combining infrared temperature data, an intelligent algorithm is used to analyze temperature distribution in real time and automatically adjust heating efficiency to achieve more uniform temperature. This closed-loop control system enables precise temperature control, reduces overheating or underheating, and improves production consistency.

[0054] In some embodiments of the present application, by reducing deformation and cracking and optimizing the temperature gradient, the profile is heated evenly during the curing process, effectively reducing thermal stress caused by temperature differences. This improves the profile's dimensional stability, reduces quality issues such as warping and cracking caused by stress concentration, and increases product qualification rates.

[0055] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as an industrial computer, cloud server, etc., or an electronic device or virtual device capable of implementing the above functions. The following uses an intelligent temperature control device for composite material molding (hereinafter referred to as the control device) as an example to illustrate this embodiment and the following embodiments.

[0056] Based on this, the embodiment of the present application provides an intelligent temperature control method for composite material molding, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the intelligent temperature control method for composite material molding provided in this application.

[0057] In this embodiment, the intelligent temperature control method for composite material molding includes steps S10 to S40:

[0058] Step S10, obtaining temperature distribution data during the composite material pultrusion process;

[0059] It is understood that a composite material is a material with new properties that is formed by a physical or chemical method from two or more combined materials. Generally speaking, the above-mentioned combined materials can include reinforcing materials and matrix materials. Reinforcing materials such as fibers (glass fibers, carbon fibers, aramid fibers, etc.), particles (ceramic particles, metal particles, etc.), etc., are used to increase the rigidity and strength of the composite material. Matrix materials such as polymers (epoxy resins, polyesters, etc.), metals (aluminum, magnesium, etc.), ceramics, etc., are the main body of the composite material and play a role in supporting and transferring loads.

[0060] It should be understood that pultrusion, a highly efficient and continuous composite molding technology, is commonly used in the manufacture of composite materials. It can be used to produce fiber-reinforced plastic profiles. The core principle of pultrusion involves impregnating continuous fibers (such as glass, carbon, or aramid fibers) with resin, passing them through a heated mold, and curing them under the action of traction, ultimately producing a composite product with a constant cross-section.

[0061] It should be noted that in the pultrusion process, temperature is a core parameter that affects material properties, molding quality, and production efficiency, and can directly affect the mechanical properties and process stability of the product. The present embodiment acquires and analyzes temperature distribution data during the composite material pultrusion process to achieve intelligent temperature control for composite material pultrusion.

[0062] In the embodiment of the present application, a device for obtaining temperature distribution data, such as a temperature sensor, an infrared imager, etc., may be installed, and the embodiment of the present application is not limited to this.

[0063] In some embodiments of the present application, a high-resolution infrared thermal imager can be used to collect temperature distribution data. By installing the infrared thermal imager above the pultrusion die, the die surface and internal profile temperatures can be monitored in real time. A thermal image analysis algorithm is used to create a high-precision model of the collected temperature distribution data, thereby obtaining a detailed temperature field distribution.

[0064] In practice, this embodiment of the present application utilizes a high-resolution infrared thermal imager mounted above the pultrusion die to monitor the temperature of the composite material during pultrusion. This allows for contactless acquisition of temperature distribution data on the die surface and within the profile, with far greater accuracy than using only traditional thermocouple temperature measurement.

[0065] Step S20, determining a temperature distribution uniformity parameter and a temperature gradient diagram during the composite material molding process based on the temperature distribution data;

[0066] Step S30, determining the regional heating efficiency according to the temperature distribution uniformity parameter and the temperature gradient map;

[0067] Step S40 : temperature control is performed during the pultrusion process of the composite material based on the regional heating efficiency.

[0068] It should be noted that the temperature uniformity parameter can be a parameter that can represent temperature uniformity. The temperature uniformity parameter can be used to evaluate temperature fluctuations in space or time. Specifically, the temperature uniformity parameter in the embodiments of the present application may include standard deviation, coefficient of variation, maximum deviation, variance, uniformity index, etc., and the embodiments of the present application are not limited to this.

[0069] It can be understood that a temperature gradient plot is a temperature data representation that can be used to show the temperature distribution gradient in space or time. A temperature gradient plot allows for visualization of temperature distribution. Simultaneously, the rate of temperature change in three spatial directions (x-axis, y-axis, and z-axis) can be determined. Based on the temperature change rate and the temperature distribution uniformity parameter, the regional heating efficiency can be determined.

[0070] It should be noted that the regional heating efficiency is the heating efficiency required at different spatial locations in the pultrusion die, determined based on the spatial temperature change rate. By determining the regional heating efficiency, the temperature of different heating zones in the pultrusion process can be maintained uniformly.

[0071] In some embodiments of the embodiments of the present application, the composite material in the embodiments of the present application may be polyurethane. In the pultrusion molding process of polyurethane, three heating zones may be used for heating treatment. Through the above-mentioned scheme of the present application, the heating efficiency of the three heating zones in the polyurethane pultrusion process may be adjusted to maintain temperature balance.

[0072] In a specific implementation, the control device of the embodiment of the present application can determine the temperature suffix uniformity parameters and temperature gradient diagram based on the temperature distribution data, and then determine the regional heating efficiency of different heating zones in the pultrusion process, thereby improving the accuracy of temperature control and the temperature balance of different heating zones.

[0073] The present embodiment acquires temperature distribution data during the composite material pultrusion process; determines temperature distribution uniformity parameters and a temperature gradient diagram based on the temperature distribution data; determines regional heating efficiency based on the temperature distribution uniformity parameters and the temperature gradient diagram; and controls the temperature of the composite material pultrusion process based on the regional heating efficiency. By combining the temperature distribution data and adjusting the power of different heating zones in real time, adaptive temperature dynamic regulation is achieved, thereby improving temperature uniformity during the pultrusion process.

[0074] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above embodiment 1 can be referred to the above introduction and will not be described in detail later. Figure 2 , Figure 2 This is a flow chart of the second embodiment of the intelligent temperature control method for composite material molding provided in this application.

[0075] like Figure 2 As shown, in the embodiment of the present application, the temperature distribution uniformity parameters include: temperature mean, temperature variance and temperature change rate;

[0076] The step of determining the temperature distribution uniformity parameter and the temperature gradient diagram during the composite material molding process based on the temperature distribution data includes:

[0077] Step S21, determining a temperature mean and a temperature variance during the composite material forming process based on the temperature distribution data;

[0078] Step S22, determining a three-dimensional gradient during the composite material forming process based on the temperature distribution data;

[0079] Step S23 , determining a temperature change rate and a temperature gradient diagram during the composite material molding process according to the temperature mean, the temperature variance, and the three-dimensional gradient.

[0080] It can be understood that the mean temperature is a parameter value derived from processing the temperature distribution data obtained from monitoring the extrusion die. This parameter value can be used to indicate the overall temperature level of each area in the extrusion die. The pultrusion variance is a parameter used to describe the degree of dispersion of temperature data and can reflect temperature fluctuation.

[0081] In some embodiments of the embodiments of the present application, the temperature mean and temperature variance of the pultrusion die and profile can be calculated through temperature distribution data to determine the uniformity of temperature distribution, and a temperature gradient diagram can be drawn through the temperature mean and temperature variance at different positions (specifically, the position points can be divided into three-dimensional 1*1 grids) and the pultrusion direction is selected as the x-axis, the cross-sectional direction of the composite material is selected as the y-axis, and the thickness direction of the composite material is selected as the z-axis, thereby determining the temperature change rate in the three directions, and using an isotherm diagram to intuitively display the temperature distribution.

[0082] In some implementations of the embodiments of the present application, the method for generating the isotherm map may be based on Kriging interpolation or linear interpolation, or may be based on other methods, which is not limited in the embodiments of the present application.

[0083] In some embodiments of the embodiments of the present application, in order to determine the regional heating efficiency, the step of determining the regional heating efficiency based on the temperature distribution uniformity parameter and the temperature gradient map includes: obtaining the target temperature mean range and the target temperature variance threshold range for composite material molding; determining the hotspot expansion trend based on the target temperature mean range, the target variance threshold range, the temperature gradient map and the temperature change rate; obtaining historical regional heating efficiency data; and determining the regional heating efficiency of each region during the composite material molding process based on the historical regional heating efficiency data and the hotspot expansion trend.

[0084] It should be noted that when the temperature mean and temperature variance of the regional temperature are obtained, the temperature gradient can be further calculated, and the temperature change rate can be determined by the difference method to determine the hot spot expansion trend.

[0085] In some implementations of the present application, a target temperature mean range and a target variance threshold range can be set based on the pultrusion process. Based on the target temperature mean range and target variance threshold range, as well as the temperature gradient and temperature change rate, the expansion direction and expansion speed (i.e., expansion trend) of the hotspot are predicted.

[0086] In some implementations of the embodiments of the present application, the method for determining the above-mentioned hotspot expansion trend can be based on a neural network model or based on other methods, and the embodiments of the present application are not limited to this.

[0087] In some embodiments of the present application, when performing hotspot trend expansion and regional heating efficiency determination, the obtained data can be stored in a corresponding preset database to facilitate further iteration based on the data in the preset database to increase the accuracy of the obtained data. That is, the method further includes:

[0088] The regional heating efficiency is stored as a historical regional heating efficiency in a preset database.

[0089] It should be noted that by determining the hotspot expansion trend, the overheating area and the location of insufficient heating can be determined, and then the heating power of each area can be adjusted to maintain uniform temperature in different areas.

[0090] In some implementations of the embodiments of the present application, a PID control algorithm may be used to determine the regional heating efficiency.

[0091] It can be understood that the PID control algorithm, that is, the algorithm based on proportion, integration, and differentiation for control, can form the control quantity through the linear combination of proportion, integration, and differentiation according to the deviation between the measured value and the set value, thereby achieving temperature control.

[0092] In the embodiment of the present application, the historical heating efficiency data and the hotspot expansion trend can be combined as the input of the PID control algorithm to adjust the output of the regional heating efficiency.

[0093] The present embodiment determines the temperature mean and temperature variance during the composite material molding process based on temperature distribution data; determines the three-dimensional gradient during the composite material molding process based on the temperature distribution data; and determines the temperature change rate and temperature gradient diagram during the composite material molding process based on the temperature mean, temperature variance, and three-dimensional gradient. Because the temperature distribution is intelligently analyzed based on the temperature mean and temperature variance, and heating efficiency is automatically adjusted, the temperature is more uniform, achieving precise temperature control, reducing overheating or underheating issues, and improving production consistency.

[0094] Based on the first embodiment and / or the second embodiment of the present application, in the third embodiment of the present application, the same or similar contents as those in the first embodiment and / or the second embodiment can be referred to the above introduction and will not be described in detail later. Figure 3 , Figure 3 This is a flow chart of the third embodiment of the intelligent temperature control method for composite material molding provided in this application.

[0095] like Figure 3 As shown, in the embodiment of the present application, the step of obtaining temperature distribution data during the composite material pultrusion molding process includes:

[0096] Step S11, obtaining temperature image data of composite material molding;

[0097] Step S12, preprocessing the temperature image data to obtain preprocessed temperature image data;

[0098] Step S13, extracting effective areas from the pre-processed temperature image data to obtain effective area temperature data;

[0099] Step S14: dividing the effective area temperature data into boundaries based on a preset temperature threshold to obtain temperature distribution data.

[0100] It should be noted that, through the high-resolution infrared thermal imager of the embodiment of the present application, the temperature image data of the mold surface and the inside of the profile can be obtained without contact. By standardizing the temperature image data, the availability of the temperature data can be enhanced. Specifically, in the embodiment of the present application, the obtained temperature image can be Gaussian filtered to remove random noise, and the infrared data can be corrected by the ambient temperature compensation algorithm to eliminate the influence of the ambient temperature. That is, the step of preprocessing the temperature image data to obtain preprocessed temperature image data includes: denoising the temperature image data to obtain denoised temperature data; and performing data compensation on the denoised temperature data based on the current ambient temperature to obtain preprocessed temperature image data.

[0101] It can be understood that the ambient temperature compensation algorithm is an algorithm that corrects the temperature image data collected by the high-resolution infrared thermal imager through the ambient temperature change to eliminate the influence of the temperature change on the measurement result.

[0102] It should be noted that the embodiment of the present application can extract effective areas of the preprocessed temperature image data and eliminate background interference. By setting the temperature threshold, the low-temperature background can be distinguished from the high-temperature mold and profile, and canny edge detection can be used to extract the boundaries of the profile and mold, and corrosion and expansion operations can be performed to remove isolated noise points to improve the connectivity between regions.

[0103] In some implementations of the present application, the preprocessed temperature image data can be grayscale converted to obtain grayscale temperature image data. Edges in the grayscale temperature image can then be determined using a Canny edge detection algorithm. Based on the edges of the grayscale temperature image, the maximum contour of the image can be determined. Furthermore, valid regions can be selected based on the maximum contour of the image to obtain valid temperature data. Boundaries are then demarcated based on the valid temperature data of different regions to obtain temperature distribution data.

[0104] The present embodiment acquires temperature image data from composite material molding; preprocesses the temperature image data to obtain preprocessed temperature image data; extracts effective regions from the preprocessed temperature image data to obtain effective region temperature data; and divides the effective region temperature data into boundaries based on preset temperature thresholds to obtain temperature distribution data. Because the preprocessing and boundary division determine the temperature data for different regions during the profile curing process, this facilitates temperature control in different regions during the profile curing process, thereby reducing thermal stress accumulation and addressing the deformation, cracking, and performance degradation problems caused by uneven temperatures in traditional pultrusion processes.

[0105] This application also provides an intelligent temperature control device for composite material molding, please refer to Figure 4 , Figure 4 This is a schematic diagram of the module structure of the intelligent temperature control device for composite material molding according to an embodiment of the present application. The intelligent temperature control device for composite material molding includes:

[0106] The data acquisition module 10 is used to obtain temperature distribution data during the composite material pultrusion molding process;

[0107] A data processing module 20 is configured to determine a temperature distribution uniformity parameter and a temperature gradient diagram during the composite material molding process based on the temperature distribution data;

[0108] a temperature determination module 30, configured to determine a regional heating efficiency based on the temperature distribution uniformity parameter and the temperature gradient map;

[0109] The temperature control module 40 is configured to perform temperature control during the pultrusion process of the composite material based on the regional heating efficiency.

[0110] The intelligent temperature control device for composite material molding provided in this application utilizes the intelligent temperature control method for composite material molding described in the above-mentioned embodiments, and can address the technical issues with existing intelligent temperature control methods for composite material molding, which are prone to localized overheating, deformation, and cracking. Compared to the prior art, the beneficial effects of the intelligent temperature control device for composite material molding provided in this application are the same as those of the intelligent temperature control method for composite material molding provided in the above-mentioned embodiments, and the other technical features of the intelligent temperature control device for composite material molding are the same as those disclosed in the above-mentioned embodiments, and are not further described here.

[0111] The present application provides an intelligent temperature control device for composite material molding, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the intelligent temperature control method for composite material molding in the above-mentioned embodiment one.

[0112] Reference below Figure 5, which shows a schematic structural diagram of an intelligent temperature control device suitable for implementing composite material molding according to an embodiment of the present application. The intelligent temperature control device for composite material molding according to the embodiment of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 5 The intelligent temperature control device for composite material molding shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0113] like Figure 5 As shown, the intelligent temperature control device for composite material molding may include a processing device 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes based on programs stored in a read-only memory (ROM) 1002 or programs loaded from a storage device 1003 into a random access memory (RAM) 1004. RAM 1004 also stores various programs and data required for the operation of the intelligent temperature control device for composite material molding. Processing device 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the intelligent temperature control device for composite material molding to communicate with other devices wirelessly or wired to exchange data. Although the figure shows an intelligent temperature control device for composite material molding with various systems, it should be understood that implementation or presence of all the illustrated systems is not required. More or fewer systems may alternatively be implemented or present.

[0114] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program comprising program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0115] The intelligent temperature control device for composite material molding provided in this application utilizes the intelligent temperature control method for composite material molding described in the aforementioned embodiment, thereby resolving the technical issues with existing intelligent temperature control methods for composite material molding, which are prone to localized overheating, deformation, and cracking. Compared to the prior art, the beneficial effects of the intelligent temperature control device for composite material molding provided in this application are the same as those of the intelligent temperature control method for composite material molding described in the aforementioned embodiment. The other technical features of the intelligent temperature control device for composite material molding are the same as those disclosed in the aforementioned embodiment, and are not further elaborated upon here.

[0116] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0117] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0118] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, a computer program) stored thereon, wherein the computer-readable program instructions are used to execute the intelligent temperature control method for composite material molding in the above-mentioned embodiment.

[0119] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0120] The computer-readable storage medium may be included in the intelligent temperature control device for composite material molding; or may exist independently without being assembled into the intelligent temperature control device for composite material molding.

[0121] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the intelligent temperature control device for composite material molding, the intelligent temperature control device for composite material molding:

[0122] Obtain temperature distribution data during composite pultrusion;

[0123] Determining a temperature distribution uniformity parameter and a temperature gradient diagram during the composite material molding process based on the temperature distribution data;

[0124] determining a regional heating efficiency based on the temperature distribution uniformity parameter and the temperature gradient map;

[0125] The pultrusion process of the composite material is temperature controlled based on the regional heating efficiency.

[0126] Computer program code for performing the operations of the present application may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on the remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0127] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0128] The modules described in the embodiments of the present application may be implemented in software or hardware, wherein the name of a module does not necessarily limit the unit itself.

[0129] The computer-readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the aforementioned intelligent temperature control method for composite material molding. This computer-readable storage medium can address the technical issues of existing intelligent temperature control methods for composite material molding, which are prone to causing localized overheating, deformation, and cracking. Compared to the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the intelligent temperature control method for composite material molding provided in the aforementioned embodiments, and are not further elaborated here.

[0130] The present application also provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the intelligent temperature control method for composite material molding as described above.

[0131] The computer program product provided in this application can address the technical issues with existing intelligent temperature control methods for composite material molding, which can easily lead to localized overheating, deformation, and cracking. Compared to the prior art, the beneficial effects of the computer program product provided in this application are similar to those of the intelligent temperature control methods for composite material molding provided in the aforementioned embodiments, and are not further elaborated here.

[0132] The above description is only part of the embodiments of the present application and does not limit the patent scope of the present application. All equivalent structural transformations made by using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect application in other related technical fields are included in the patent protection scope of the present application.

Claims

1. An intelligent temperature control method for composite material molding, characterized in that: The method comprises: Obtain temperature distribution data during composite pultrusion; Determining a temperature distribution uniformity parameter and a temperature gradient diagram during the composite material molding process based on the temperature distribution data; determining a regional heating efficiency based on the temperature distribution uniformity parameter and the temperature gradient map; The pultrusion process of the composite material is temperature controlled based on the regional heating efficiency.

2. The intelligent temperature control method for composite material molding according to claim 1, characterized in that: The temperature distribution uniformity parameters include: temperature mean, temperature variance and temperature change rate; The step of determining the temperature distribution uniformity parameter and the temperature gradient diagram during the composite material molding process based on the temperature distribution data includes: Determining a temperature mean and a temperature variance during a composite material molding process based on the temperature distribution data; determining a three-dimensional gradient during the composite material forming process based on the temperature distribution data; The temperature change rate and the temperature gradient diagram during the composite material molding process are determined according to the temperature mean, the temperature variance and the three-dimensional gradient.

3. The intelligent temperature control method for composite material molding according to claim 2, characterized in that: The step of determining the regional heating efficiency according to the temperature distribution uniformity parameter and the temperature gradient map includes: Obtain target temperature mean range and target temperature variance threshold range for composite material molding; Determining a hotspot expansion trend based on the target temperature mean range, the target variance threshold range, the temperature gradient map, and the temperature change rate; Obtain historical regional heating efficiency data; The regional heating efficiency of each region during the composite material molding process is determined based on the historical regional heating efficiency data and the hot spot expansion trend.

4. The intelligent temperature control method for composite material molding according to claim 1, characterized in that: The step of obtaining temperature distribution data during the composite material pultrusion process includes: Acquire temperature image data of composite material molding; Preprocessing the temperature image data to obtain preprocessed temperature image data; Extracting effective areas from the pre-processed temperature image data to obtain effective area temperature data; The effective area temperature data is divided into boundaries based on a preset temperature threshold to obtain temperature distribution data.

5. The intelligent temperature control method for composite material molding according to claim 4, characterized in that: The step of preprocessing the temperature image data to obtain preprocessed temperature image data includes: performing denoising processing on the temperature image data to obtain denoised temperature data; The denoised temperature data is compensated based on the current ambient temperature to obtain preprocessed temperature image data.

6. The intelligent temperature control method for composite material molding according to claim 3, characterized in that: The method further comprises: The regional heating efficiency is stored as a historical regional heating efficiency in a preset database.

7. An intelligent temperature control device for composite material molding, characterized in that: The intelligent temperature control device for composite material molding includes: A data acquisition module, used to obtain temperature distribution data during the composite material pultrusion process; a data processing module, configured to determine a temperature distribution uniformity parameter and a temperature gradient diagram during the composite material molding process based on the temperature distribution data; a temperature determination module, configured to determine a regional heating efficiency based on the temperature distribution uniformity parameter and the temperature gradient map; A temperature control module is used to perform temperature control during the pultrusion process of the composite material based on the regional heating efficiency.

8. An intelligent temperature control device for composite material molding, characterized in that: The device includes: a memory, a processor, and an intelligent temperature control program for composite material molding stored in the memory and executable on the processor, wherein the intelligent temperature control program for composite material molding is configured to implement the steps of the intelligent temperature control method for composite material molding as described in any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium stores an intelligent temperature control program for composite material molding, and when the intelligent temperature control program for composite material molding is executed by the processor, the steps of the intelligent temperature control method for composite material molding according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of the intelligent temperature control method for composite material molding according to any one of claims 1 to 6 are implemented.

Images