Matching regulation method of grid rib laying process parameters

Abstract

The application discloses a kind of matching regulation and control methods of grid rib laying process parameters, consider the fiber tow tension in the research influence laying process parameter factor, keep the stability of fiber tension helps to improve the product quality of workpiece;Through the qualitative analysis of grid rib composite material laying quality evaluation standard and the quantitative calculation of pre-impregnated tow adhesion performance and laying process parameters, the laying process parameters are optimized;The application also proposes a kind of grid rib laying process parameter matching regulation and control mechanism by analyzing the internal logical relationship of laying process parameters, and describes the real-time control scheme of forming process parameters such as laying tension, laying temperature and laying pressure based on the change of laying rate, which lays a foundation for promoting the application of grid rib laying process technology.

Description

Technical Field

[0001] This invention relates to manufacturing technologies in the fields of aerospace and shipbuilding, specifically to a method for matching and controlling the process parameters of mesh reinforcement laying for structural components such as aircraft wings, fuel tanks, and spacecraft. Background Technology

[0002] Composite mesh structures are a type of mesh-like structure with lighter weight and superior performance. Developed from metal mesh structures, they are widely used in aerospace and other fields due to their high specific strength, specific modulus, and corrosion resistance. Compared to metal mesh structures, composite mesh reinforcement can ensure high strength and stiffness while reducing the weight of components; when an external load is applied to a mesh-reinforced structure component, the load can be transferred along the direction of the reinforcement. Common mesh structures can be classified according to the geometric shape formed by laying the prepreg: triangular mesh structures, rectangular mesh structures, and rhomboid mesh structures. The manufacturing process of composite mesh structures is complex and costly, and research in China is still in its early stages. Therefore, methods for matching and controlling the mesh reinforcement laying process parameters are of significant guiding importance for research on the fabrication process of composite mesh structures.

[0003] The following shortcomings exist regarding the factors affecting the automated mesh laying and molding process of composite materials:

[0004] 1. The main factors affecting automated layup forming processes are layup pressure, layup temperature, and layup speed. However, most applied research focuses on single-factor analysis, that is, studying the effect of layup speed on the layup process under certain layup pressure and temperature conditions. The conclusions drawn can only determine the optimal layup speed under these conditions, but cannot determine the optimal layup process.

[0005] 2. Currently, apart from the effects of layup pressure, layup temperature and layup speed on the layup process of composite mesh reinforcement, there is little research on the influence of fiber bundle tension on the layup process. Fiber bundle tension is an indispensable factor in determining the optimal layup process parameters for composite mesh reinforcement.

[0006] 3. Currently, there is no unified evaluation standard for the laying quality of composite material mesh reinforcement. Moreover, the evaluation standards are mostly qualitative descriptions and lack quantitative analysis. Summary of the Invention

[0007] The purpose of this invention is to provide a matching control method for the laying process parameters of mesh reinforcement. By studying the mutual influence relationship between laying tension, laying temperature, laying pressure and laying speed, the optimal laying process parameters are obtained to achieve the best laying effect, thereby overcoming the defects mentioned in the background art.

[0008] The technical solution to achieve the purpose of this invention is as follows:

[0009] A method for matching and controlling the process parameters of a mesh reinforcement laying process, characterized in that it includes:

[0010] Establish the relationship between the prepreg peel force F and the layup process parameters: layup temperature T, layup speed v, layup pressure P, and layup tension f;

[0011] Determine the range of process parameters, conduct four sets of process laying tests based on the coupling relationship between the laying parameters, and calculate the values ​​of the coefficients in the above relationship by substituting them into the above relationship.

[0012] Establish equations relating the laying tension f to the laying speed v, the laying temperature T to the laying speed v, and the laying pressure P to the laying speed v;

[0013] The peeling force F0 of the prepreg bundle under the optimal laying quality is measured, and the optimal laying speed v0 is obtained by back-calculating the peeling force of the prepreg bundle under the optimal condition.

[0014] Based on the optimal laying speed v0, the optimal laying tension f0, optimal laying temperature T0, and optimal laying pressure P0 are obtained.

[0015] The significant advantages of this invention compared to existing technologies are:

[0016] 1) The method of adjusting the mesh reinforcement laying process can minimize the number of experiments and reduce the laying cost while ensuring the laying quality. This method can determine the optimal laying process parameters to achieve the best laying effect.

[0017] 2) During the laying of composite mesh reinforcement, fiber bundle tension is a very important process parameter. Maintaining the stability of fiber tension helps to improve the product quality of the parts.

[0018] 3) Based on the laying effect of composite mesh reinforcement, laying quality evaluation indexes and standards and laying quality scoring standards were formulated. A fitting equation between the bonding performance of prepreg bundles and laying process parameters was established. The laying process parameters were optimized based on the laying quality scoring standards and fitting equation. Attached Figure Description

[0019] Figure 1 This is a flowchart illustrating the method.

[0020] Figure 2 This is a schematic diagram showing the assembly relationship of the components in this method. Detailed Implementation

[0021] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0022] This invention provides a method for matching and adjusting the process parameters of mesh reinforcement laying, specifically including the following steps:

[0023] S1: Determine the range of process parameters: Based on the coupling relationship between the laying parameters, conduct 4 sets of process laying tests; the laying process parameters include laying temperature T, laying speed v, laying pressure P, and laying tension f;

[0024] S11: Adjust the fiber bundle tension and adjust the placement speed of the placement head according to the tension. While the placement head is placing the fiber bundle along the placement trajectory, adjust the tension controller. The tension controller's adjustment range is 4-12N, with the value gradually increasing until the fiber bundle is taut. Then adjust the placement speed of the placement head to a range of 120-350mm / s. A speed encoder monitors the placement head speed in real time to ensure the fiber bundle remains taut at all times.

[0025] A layup speed that matches the set fiber tension is obtained;

[0026] S12: Determine the heating temperature based on the laying speed. Adjusting the laying speed requires a simultaneous change in heating power. By adjusting the radiation intensity of the infrared heating lamps, the heating mechanism executes the commands from the control unit to heat the laying surface. The heating device adjusts the heating power according to the laying speed on the speed encoder, thereby controlling the temperature of the infrared heating lamps. The controlled temperature range is 20-60℃, ensuring good adhesion between fiber bundles and achieving a heating temperature that matches the set laying speed.

[0027] S13: Determine the pressure of the flexible pressure roller based on the layup speed. The bonding time between the fiber bundle and the mold is determined by the layup speed. The faster the layup speed, the less time the fiber bundle interacts with the mold, and the greater the required layup pressure. Changes in layup speed require simultaneous adjustments to the pressure of the flexible pressure roller to ensure sufficient bonding between the fiber bundle and the mold. Specifically, this involves adjusting the layup pressure of the flexible pressure roller 4 according to the layup speed measured by the speed encoder 7. The layup pressure and layup speed are correlated through the interaction time between the flexible pressure roller 4 and the surface of the mold 6. The faster the layup speed, the less time the flexible pressure roller 4 interacts with the mold 6, and the greater the required layup pressure. Adjusting the layup pressure of the flexible pressure roller between 500-1500N ensures good bonding quality between the fiber bundles, achieving a layup pressure that matches the set layup speed.

[0028] S14: Repeat steps S11, S12, and S13 to conduct 4 sets of process placement tests; the process parameters corresponding to the i-th set of process placement tests are as follows: placement temperature T i Laying speed v i Laying pressure P i Laying tension f i The corresponding peeling force is F. i .

[0029] S15: Measure the peel force F between the prepreg bundle and the mold under four different process parameters in S14. Place the laid-out prepreg bundle on a universal testing machine for peel test and use the peel force to characterize the bonding performance of the prepreg.

[0030] The present invention is further optimized as follows: A preliminary laying result is obtained according to steps S11, S12, and S13 above. Based on the preliminary laying result, a set of laying parameter optimization standards is proposed, as shown in Table 1. The evaluation indicators mainly include the overall adhesion effect, the adhesion effect between adjacent prepreg bundles, the magnitude of deformation in the width direction of the prepreg bundles, the presence or absence of wrinkles, the number of air bubbles, and the presence or absence of indentations. The laying quality scoring standards are shown in Table 2. During the experiment, if any single scoring item scores 0 points or the total score is less than 7 points, it indicates that the laying quality is unqualified.

[0031] Table 1

[0032]

[0033]

[0034] S2: Based on the preliminary laying results in S1, establish the relationship between the prepreg tow peeling force F and the laying process parameters: laying temperature T, laying speed v, laying pressure P, and laying tension f.

[0035] The peel force F between the prepreg tow and the die was measured under different process parameters. The peel force F characterizes the interlayer adhesion performance of the prepreg tow. The laid-up prepreg tow was placed on a universal testing machine for peel tests, and the peel force was used to characterize the adhesion performance of the prepreg. Good adhesion between the prepreg tow and the die is a key factor for successful automated layup, and this adhesion is directly related to the adhesion performance of the prepreg tow and the layup process parameters (layup temperature T, layup speed v, layup pressure P, layup tension f). A fitting equation between the prepreg tow and the layup process parameters was established. Where k1 and k2 are coefficients affecting the laying process parameters, and b is the laying influence factor; the experimental results of four sets of laying process parameters determine the values ​​of the undetermined coefficients; the process parameters are optimized according to this method to obtain the optimal mesh reinforcement laying process parameters; the calculation process is as follows:

[0036] Denote intermediate variables

[0037]

[0038]

[0039]

[0040] We obtain (X1, F1), (X2, F2), (X3, F3), (X4, F4).

[0041] remember

[0042] F(X i The peeling force is converted into an intermediate variable X. i The relation, L(k1, k2, b), is denoted as L. The simultaneous equations... Solve for the values ​​of k1, k2, and b;

[0043] S3: Establish equations relating the laying tension f to the laying speed v, the laying temperature T to the laying speed v, and the laying pressure P to the laying speed v;

[0044] Establish the relationship between the laying speed and other laying process parameters: f = a1v 2 +b1v+c1、T=a2v 2 +b²v+c², P=a³v 2 +b3v+c3. Based on the test results of four sets of laying process parameters and the aforementioned method for calculating undetermined coefficients, equations are established for laying tension f and laying speed v, laying temperature T and laying speed v, and laying pressure P and laying speed v.

[0045] S4: Establish laying quality standards and measure the peel force of the prepreg bundles when the laying quality reaches the optimal state;

[0046] S5: The optimal laying speed is derived by back-calculating the peel force of the prepreg bundle under optimal conditions. Once the laying speed is determined, the other three laying process parameters can be determined, thus obtaining the optimal mesh reinforcement laying process parameters;

[0047] According to the layup quality evaluation criteria, peel strength samples under optimal layup quality conditions are prepared. The peel force F0 of this type of prepreg tow can be measured when the layup quality reaches its optimal state. Based on the magnitude of the peel force F0 of this type of prepreg tow under optimal conditions, the corresponding intermediate variable X0 value is obtained.

[0048] Substitute the relation from step 3 into The equations for X and the laying speed v are obtained. Let X = X0, and the optimal laying speed v0 is obtained. When the laying speed is determined, the other three laying process parameters can be determined, and thus the optimal laying tension f0, optimal laying temperature T0, and optimal laying pressure P0 can be obtained. Based on this method, the process parameters are optimized to obtain the optimal mesh reinforcement laying process parameters.

[0049] S6: Complete the mesh reinforcement laying according to the optimal mesh reinforcement laying process parameters.

[0050] Another objective of this invention is to establish a linkage control mechanism for the mesh reinforcement laying process parameters, including a prepreg tow laying speed control system, a tension control system, a pressure control system, a temperature control system, and other mesh reinforcement laying process control subsystems. The mesh reinforcement laying and forming process control system is integrated into an automatic laying CNC machine tool. The various laying process parameters are linked and controlled. The laying rate is determined based on the complexity of the mesh reinforcement mold and is simultaneously constrained by the envelope of three sub-control systems: laying temperature, laying pressure, and laying tension. The laying temperature is determined based on the properties of the matrix resin, the laying rate, and the status of the heating device. The laying pressure is determined based on the resin properties, the laying trajectory, the actual laying rate, and the laying tension. The laying tension is determined based on the mold surface shape, the laying trajectory, and the laying speed.

[0051] The laying speed control system is controlled by the laying CNC machine tool and is set directly in the NC code.

[0052] The layup tension control system comprises a DSP chip, a servo motor, and a speed encoder. The DSP serves as the core of the tension control system, with an AC servo motor and cylinder as actuators, and an angle encoder and a speed encoder as feedback components, forming a closed-loop system. Tension sensors measure the tension of the prepreg tow and transmit this value as a tension output signal to the layup speed control system. As the layup head moves along the layup trajectory, the speed encoder monitors the layup head speed in real time. The tow passes through the unwind roll and reaches the swing arm tension control system, which is controlled by a tension controller. The swing arm in the tension controller is connected to an angle sensor. During layup, the unstable speed causes the swing arm to oscillate left and right. The layup speed is adjusted based on the data from the angle sensor until the tension stabilizes.

[0053] The laying temperature control system includes a laying speed detection module, an infrared heating temperature control module, and an infrared heating execution module. The infrared heating temperature module is configured to: program the laying speed and infrared heating lamp power in the control unit; calculate the output analog voltage based on the real-time pulse signal input from the encoder; and adjust the heating lamp output power to achieve real-time adjustment of the heated surface. The relationship between heating lamp power and voltage can be obtained through experimental measurement, and the equation for power and voltage can be obtained through quadratic fitting. An online real-time speed encoder is used to detect the laying speed. The output analog voltage is calculated based on the real-time pulse signal input from the speed encoder, and the voltage regulation module controls the heating lamp operating voltage, thereby adjusting the heating lamp output power and the laying temperature. When the laying speed is zero, the infrared heating lamp stops working. The heating device changes its heating power based on the signal from the speed encoder meshing with the unloading roll, and the heating mechanism executes the commands from the control unit to heat the laying surface.

[0054] The layup pressure control system uses a long-range encoder to collect the feed rate of the prepreg tow in real time. After processing by the integrated PLC program in the UMAC controller, the pulse signal is converted into the actual layup speed value. Based on this value, the layup pressure value is calculated from the layup pressure control table. The layup pressure value is smoothed and filtered, and upper and lower limits are set. When the pressure exceeds the upper or lower limits, the extreme value is output as the layup pressure value. The pressure value is converted into a voltage signal for the pressure regulating valve, which sends a control signal to the pressure control system. The voltage signal adjusts the cylinder pressure, thus automatically adjusting the layup pressure in real time according to the layup speed. The layup pressure is achieved by the movement of the passive silicone rubber roller driven by the cylinder piston rod. The pressure of the pressure roller is determined by the air intake of the cylinder. The flexible pressure roller is connected to the cylinder, and pressure is applied to the flexible pressure roller by the cylinder to ensure that the prepreg tow is fully adhered to the mold.

[0055] The optimal laying parameters are input into an automatic laying CNC machine tool, and a machining program is written to obtain a mesh reinforcement part that meets the requirements.

[0056] The working principle of this invention is:

[0057] 1. When the filament lays the yarn along the laying trajectory, the speed encoder can monitor the speed of the laying head in real time. The yarn bundle passes through the feed roll and reaches the swing arm tension control system. The tension control system is controlled by the tension controller. The swing arm in the tension controller is connected to the angle sensor. During the laying process, the unstable speed causes the swing arm to swing left and right. The laying speed is adjusted according to the data in the angle sensor until the tension is stable. The prepreg yarn bundle leaves the tension system through the yarn guide roller and reaches the heating system.

[0058] 2. The heating device consists of infrared heating lamps. When the laying speed is zero, the infrared heating lamps stop working. The heating device changes its heating power according to the signal on the speed encoder that meshes with the unloading roll. The heating mechanism executes the command of the control unit to heat the laying surface.

[0059] 3. Adjusting the laying speed can change the bonding time between the filament bundle and the mold; after passing through the heating device, the filament bundle reaches the flexible pressure roller, which is connected to the cylinder. The cylinder applies pressure to the flexible pressure roller, so that the pre-impregnated filament bundle is fully bonded to the mold; after the filament bundle is bonded to the mold surface, the paper roll retracts the backing paper on the surface of the filament bundle.

[0060] 4. Based on the laying evaluation indicators and standards and the laying quality scoring standards, through four sets of laying process parameter tests, establish the fitting equation between the laying process parameters (laying temperature T, laying speed v, laying pressure P, laying tension f) and the peeling force F, and determine the optimal process parameters based on the fitting equation.

[0061] Example

[0062] This embodiment provides a method for matching and adjusting the process parameters of mesh reinforcement laying.

[0063] The mesh reinforcement tooling system includes a feeding roll 1, a tension controller 2, an infrared heating lamp 3, a flexible pressure roller 4, a liner paper recycling roll 5, a mold 6, and a speed encoder 7; in this embodiment, the laid filament bundle exists in the form of pre-impregnated filament before use.

[0064] The specific steps are as follows:

[0065] S1 first starts the laying head at a speed of 50mm / s to gradually increase the surface tension of the laid filament bundle. After the laid filament bundle is in a taut state, the value in the tension controller 2 is adjusted. The adjustment range is 4-12N, and the value is adjusted from small to large in sequence.

[0066] S2 After the filament bundle is in a straight state, adjust the laying speed of the filament laying head to a value between 120-350mm / s, and adjust it to match the set fiber tension and laying speed.

[0067] The S3 heating device adjusts the heating power according to the laying speed on the speed encoder 7, thereby controlling the temperature of the infrared heating lamp 3. The temperature range is 20-60℃, so that the set laying speed and laying temperature are matched.

[0068] S4 adjusts the laying pressure of the flexible pressure roller 4 according to the laying speed of the speed encoder 7. The laying pressure and laying speed are related by the interaction time between the flexible pressure roller 4 and the surface of the die 6. The faster the laying speed, the shorter the interaction time between the flexible pressure roller 4 and the die 6, and the greater the required laying pressure. The laying pressure of the flexible pressure roller is adjusted between 500-1500N to match the set laying speed with the laying pressure.

[0069] Repeating steps S1, S2, S3, and S4, four preliminary layup results are obtained: f1 = 6N, f2 = 9N, f3 = 10N, f4 = 11N, v1 = 120mm / s, v2 = 200mm / s, v3 = 250mm / s, v4 = 300mm / s, T1 = 25℃, T2 = 40℃, T3 = 55℃, T4 = 60℃, P1 = 600N, P2 = 1000N, P3 = 1300N, P4 = 1500N. Based on the preliminary layup results, the relationship between the prepreg tow peel force and the layup process parameters is as follows: Where k1 and k2 are coefficients affecting the laying process parameters, and b is the laying quality influencing factor. T is the laying temperature, v is the laying speed, P is the laying pressure, and f is the laying tension. The values ​​of k1, k2, and b were determined through experiments with four sets of laying process parameters. The calculation process is as follows:

[0070] f1=6N, f2=9N, f3=10N, f4=11N, v1=120mm / s, v2=200mm / s, v3=250mm / s, v4=300mm / s,

[0071] T1=,25℃, T2=40℃, T3=55℃, T4=60℃, P1=600N, P2=1000N, P3=1300N, P4=1500N.

[0072] The peel forces measured using four different layup process parameters were: F1 = 5N, F2 = 8N, F3 = 13N, and F4 = 14N. The preferred calculation formula is as follows:

[0073]

[0074]

[0075]

[0076] We get (20.8333,5), (22.2222,8), (28.6,13), (27.2727,14).

[0077] L(k1,k2,b)=(5-20.8333 2 k1-20.8333k2-b) 2 +(8-22.2222 2 k1-22.2222k2-b) 2 +(13-28.6 2 k1-28.6k2-b) 2 +(14-27.2727 2 k1-27.2727k2-b) 2

[0078] United

[0079] Using the above formulas, the coefficients affecting the laying process parameters are calculated as k1 = -0.2247 and k2 = 12.191.

[0080] Impact factor b = 151.62

[0081] The expression relating the layup parameters and the peel force is:

[0082]

[0083] Based on the preliminary laying results, the relationship between laying speed and other laying process parameters is established: f = a1v 2+b1v+c1、T=a2v 2 +b²v+c², P=a³v 2 +b3v+c3, the equation for the relationship between the laying tension f and the laying speed is obtained as follows:

[0084] f = -0.00008v 2 +0.063v-0.3129 (2)

[0085] The expression relating the laying temperature T and the laying speed v is:

[0086] T = -0.0002v 2 +0.2854v-6.9101 (3)

[0087] The expression relating the laying pressure P and the laying speed v is:

[0088] P = 5.0919v - 7.4965 (4)

[0089] According to expressions (1), (3), and (4),

[0090] Optimal laying tension can be obtained

[0091] According to expressions (1), (2), and (4),

[0092] Optimal laying temperature

[0093] According to expressions (1), (2), and (3),

[0094] Optimal deployment pressure

[0095] When the laying quality reaches the optimal state, the peeling force of the prepreg bundle can be measured as F = 7N. The laying speed when the laying quality reaches the optimal state is v = 190mm / s. According to expressions (5), (6), and (7), the optimal laying process parameters of the mesh reinforcement are f = 9.4N, P = 899.8N, T = 37.6℃, and v = 190mm / s.

[0096] In the mesh reinforcement laying and forming process control system of the automatic laying CNC machine tool, the processing program is defined and written. The laying process parameters are set as v = 190 mm / s, f = 9.4 N, P = 899.8 N, and T = 37.6 ℃ in the prepreg laying speed control system, tension control system, pressure control system, and temperature control system, respectively. By running the automatic processing program, the mesh reinforcement part that meets the requirements can be obtained.

[0097] The technical means disclosed in this invention are not limited to those disclosed in the above embodiments, but also include technical solutions composed of any combination of the above technical features.

Claims

1. A method for matching and controlling the process parameters of mesh reinforcement laying, characterized in that, include: Establish the relationship between the prepreg peel force F and the layup process parameters: layup temperature T, layup speed v, layup pressure P, and layup tension f; The relationship between the prepreg tow peel force F and the layup process parameters, layup temperature T, layup speed v, layup pressure P, and layup tension f, is as follows: Where k1 and k2 are coefficients affecting the laying process parameters, and b is the laying influence factor; Determine the range of process parameters, conduct four sets of process laying tests based on the coupling relationship between the laying parameters, and calculate the values ​​of the coefficients in the above relationship by substituting them into the above relationship. The process of obtaining the values ​​of the coefficients in the relation is as follows: Denote intermediate variables Where T i v i P i f i These represent the laying temperature, laying speed, laying pressure, and laying tension corresponding to the laying test of the i-th process. Let the coefficient function L(k1, k2, b) satisfy: Where F i F(X) represents the peel force corresponding to the i-th process layup test. i The peeling force is converted into an intermediate variable X. i Relationship; United , , Solve for the values ​​of k1, k2, and b; Establish equations relating the laying tension f to the laying speed v, the laying temperature T to the laying speed v, and the laying pressure P to the laying speed v; The equations for laying tension f versus laying speed v, laying temperature T versus laying speed v, and laying pressure P versus laying speed v are as follows: a1, a2, a3, b1, b2, b3, c1, c2, c3 are the coefficients of the corresponding equations; The peeling force F0 of the prepreg bundle under the optimal laying quality is measured, and the optimal laying speed v0 is obtained by back-calculating the peeling force of the prepreg bundle under the optimal condition. Based on the optimal laying speed v0, the optimal laying tension f0, optimal laying temperature T0, and optimal laying pressure P0 are obtained.

2. The method for matching and adjusting the process parameters of the mesh reinforcement laying process according to claim 1, characterized in that, During the process placement test, the fiber bundle tension was first adjusted from low to high until the fiber bundle was taut and placed at a speed that matched the set fiber tension. Then, the heating temperature was determined based on the placement speed, and the temperature range was controlled to obtain a heating temperature that matched the set placement speed. The pressure of the flexible pressure roller was determined based on the placement speed. The placement pressure and placement speed were correlated through the interaction time between the flexible pressure roller and the mold surface. The placement pressure of the flexible pressure roller was adjusted to obtain a placement pressure that matched the set placement speed. Four sets of process placement tests were conducted.

3. A matching control system for mesh reinforcement laying process parameters, wherein the optimal process parameters obtained by the matching control method for mesh reinforcement laying process parameters according to any one of claims 1-2 are adjusted, characterized in that, include: A layup speed control system is used to control the layup speed of the prepreg tow; The layup tension control system is used to measure the tension of the prepreg tow and transmit this value as a tension output signal to the layup speed control system. The layup speed is adjusted until the tension is stable. The laying temperature control system is used to detect the laying speed in real time and adjust the laying temperature accordingly. The laying pressure control system is used to control the laying pressure, which is adjusted in real time according to the laying rate.

4. The matching and control system for the mesh reinforcement laying process parameters according to claim 3, characterized in that, The laying tension control system includes a servo motor, an angle encoder, and a speed encoder; the servo motor and cylinder are used as actuators, and the angle encoder and speed encoder are used as feedback elements, forming a closed-loop system; the tension of the prepreg tow is measured by a tension sensor, and the speed encoder is used to monitor the laying head speed in real time, adjusting the laying speed according to the data from the sensor until the tension is stable.

5. The matching control system for the mesh reinforcement laying process parameters according to claim 3, characterized in that, The laying temperature control system includes infrared heating lamps; The laying speed is detected online in real time using a speed encoder. The analog voltage output is calculated based on the pulse signal input from the speed encoder in real time. The working voltage of the infrared lamp is controlled by the voltage regulation module, thereby adjusting the output power of the heating lamp and adjusting the laying temperature.

6. The matching control system for the mesh reinforcement laying process parameters according to claim 5, characterized in that, The laying pressure is set with upper and lower limits. When the upper or lower limit is exceeded, the extreme value is output as the laying pressure value. The pressure value is converted into a voltage signal of the pressure regulating valve and sent to the pressure control system. The cylinder pressure is adjusted through the voltage signal, so that the laying pressure is automatically adjusted in real time according to the laying rate.

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