High-precision cutting method for offshore wind power composite material blade
By using 3D lidar radar generation technology, combined with fiber laser preheating and multi-axis linkage platform cutting device, the problems of large cut deviation, fiber delamination and resin melting in offshore wind turbine blade cutting are solved, achieving high-precision cutting and environmental friendliness.
Patent Information
- Application Number
- CN202511408113.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-29
- Publication Date
- 2025-12-12
AI Technical Summary
Existing offshore wind turbine blade cutting processes suffer from large deviations in cut dimensions, fiber delamination, and resin melting issues. Furthermore, traditional equipment lacks anti-corrosion design, affecting blade assembly quality and environmental safety.
A three-dimensional lidar is used to generate a point cloud model. A fiber laser is used for preheating to reduce the bonding force between the fiber and the resin interface. A multi-axis linkage platform drives a diamond segment saw blade to perform layered cutting. A high-speed camera is used to monitor the cut status in real time, and an ultrasonic grinding head is used for finishing.
It achieves high-precision cutting of composite material blades for offshore wind power, with a cut roughness Ra≤1.6μm, eliminating the need for secondary grinding, significantly improving cutting quality and efficiency, reducing dust emissions, and enhancing the corrosion resistance of the equipment.
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Figure CN121105115A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of offshore wind power equipment manufacturing technology, and in particular to a high-precision cutting method for offshore wind power composite material blades. Background Technology
[0002] Offshore wind turbine blades, as key load-bearing and energy conversion components in wind power generation systems, are typically constructed from multiple layers of composite materials, including a wear-resistant resin coating, glass fiber or carbon fiber reinforcement layers, and a lightweight foam core. Their dimensions can range from 50 to 120 meters. With the development of offshore wind power towards large megawatts and deep-sea applications, blade manufacturing places higher demands on the precision and quality of post-forming material removal, cross-section trimming, and connection end processing. In related technologies, a composite material blade processing system has been constructed through the coordinated operation of mechanical cutting, laser processing, and an auxiliary control system. Specifically, this system covers the entire process from 3D modeling and path planning to actual cutting and post-processing, including key stages such as equipment positioning, material pretreatment, cutting execution, and quality inspection, aiming to achieve efficient and low-damage processing.
[0003] However, existing cutting processes, which directly employ rigid mechanical saw blades, typically lack dynamic compensation mechanisms for the complex curved surfaces of the blades. This results in significant kerf size deviations (usually >0.5mm), affecting the airtightness and structural strength of the assembled blades. Furthermore, due to the weak interlayer bonding of composite materials, fiber delamination and resin melting sticking to the blade are easily triggered during cutting, leading to kerf roughness Ra often exceeding 3.2μm. This necessitates additional grinding, increasing process costs and material waste. Moreover, the offshore manufacturing environment presents adverse factors such as high salt spray and high humidity. Traditional equipment lacks systematic corrosion protection design, and the micron-sized dust generated during cutting is easily dispersed, posing a potential threat to operator health and the marine ecosystem. These problems have not been adequately addressed in existing technologies, limiting further optimization and industrial application of offshore wind turbine blade manufacturing processes. Summary of the Invention
[0004] The present invention aims to at least partially solve one of the technical problems in the related art.
[0005] Therefore, the first objective of this invention is to propose a high-precision cutting method for offshore wind turbine composite material blades.
[0006] The second objective of this invention is to provide a high-precision cutting device for offshore wind turbine composite material blades.
[0007] The third objective of this invention is to provide an electronic device.
[0008] The fourth objective of this invention is to provide a computer-readable storage medium.
[0009] The fifth objective of this invention is to provide a computer program product.
[0010] To achieve the above objectives, a first aspect of the present invention provides a high-precision cutting method for offshore wind turbine composite material blades, comprising:
[0011] S1. A 3D LiDAR is used to perform a full-size scan of the area to be cut on the blade, generating a point cloud model. Based on the comparison between the point cloud model and the design model, a cutting path including surface fitting compensation parameters is automatically generated. S2. According to the blade material type, a fiber laser is used to preheat the material along the cutting path. The laser power and spot diameter are controlled to maintain the surface temperature of the material between 80-120℃, reducing the bonding force between the fiber and resin interface. S3. A multi-axis linkage platform drives a diamond segment saw blade to perform layered cutting along the cutting path. The layered cutting depth is set according to the material structure, and the saw blade attitude is adjusted in real time at a frequency of 50Hz to maintain a 3°-5° inclination angle with the tangent direction of the blade surface. S4. A high-speed camera captures the cutting status in real time. When fiber layering exceeds 0.1mm, the feed speed is automatically reduced by 10%-20%, and the laser power is increased by 5-10W, achieving dynamic damage control during the cutting process.
[0012] In one embodiment of the present invention, the step of using a three-dimensional lidar to perform a full-size scan of the area to be cut on the blade, generating a point cloud model, and automatically generating a cutting path including surface fitting compensation parameters based on the comparison between the point cloud model and the design digital model, further includes: S11, setting the lidar scanning density to 100 points / mm. 2 To ensure high-precision matching of the point cloud model; S12, based on the deviation analysis between the point cloud model and the design model, the automatically generated cutting path includes a surface fitting compensation parameter of 0.08mm, which is used to correct the small differences between the actual surface of the blade and the design model.
[0013] In one embodiment of the present invention, the step of preheating along the cutting path using a fiber laser according to the blade material type, controlling the laser power and spot diameter to maintain the material surface temperature between 80-120°C to reduce the interfacial bonding force between the fiber and resin, further includes: S21, when the material to be cut is GFRP, the laser power is set to 60W and the spot diameter is set to 0.8mm; S22, when the material to be cut is CFRP, the laser power is set to 80W and the spot diameter is set to 0.5mm, and the laser irradiation advance time is controlled to be 0.8s during the preheating process.
[0014] In one embodiment of the present invention, the step of driving a diamond segment saw blade along the cutting path to perform layered cutting via a multi-axis linkage platform, setting the layered cutting depth according to the material structure, and adjusting the saw blade posture in real time at a frequency of 50Hz to maintain an inclination angle of 3°-5° with the tangent direction of the blade surface, further includes: S31, setting the cutting depth of the surface material to 8mm / layer and the cutting depth of the core material to 18mm / layer; S32, setting the saw blade rotation speed to 4000r / min and the feed speed to 80mm / min to balance cutting efficiency and cut quality.
[0015] In one embodiment of the present invention, the method of using a high-speed camera to capture the cutting state in real time, and automatically reducing the feed speed by 10%-20% and increasing the laser power by 5-10W when fiber delamination is detected to achieve dynamic damage control during the cutting process, further includes: S41, setting the frame rate of the high-speed camera to 1000fps to ensure real-time capture of the cutting state; S42, when the infrared temperature measurement module detects that the saw blade temperature exceeds 200°C, activating the micro-lubrication system to lubricate and cool the saw blade with an oil mist volume of 5-10mL / h.
[0016] In one embodiment of the present invention, the method further includes: S5, after the cutting is completed, an ultrasonic grinding head with a frequency of 20-30kHz is used to trim the cut to remove residual resin burrs, so that the cut roughness Ra≤1.6μm.
[0017] To achieve the above objectives, a second aspect of the present invention provides a high-precision cutting device for offshore wind turbine composite material blades, comprising: a three-dimensional scanning and modeling module, used to perform a full-size scan of the area to be cut on the blade using a three-dimensional lidar, generate a point cloud model, and automatically generate a cutting path including surface fitting compensation parameters based on a comparison between the point cloud model and the design model; and a laser preheating control module, used to preheat the blade along the cutting path using a fiber laser according to the blade material type, controlling the laser power and spot diameter to maintain the material surface temperature between 80-120°C. The system reduces the bonding force between the fiber and resin interface; a multi-axis layered cutting module is used to drive the diamond segment saw blade to perform layered cutting along the cutting path through a multi-axis linkage platform, sets the layered cutting depth according to the material structure, and adjusts the saw blade posture in real time at a frequency of 50Hz to maintain an inclination angle of 3°-5° with the tangent direction of the blade surface; a cut status monitoring and control module is used to capture the cut status in real time using a high-speed camera, and when fiber layering is detected to exceed 0.1mm, it automatically reduces the feed speed by 10%-20% and increases the laser power by 5-10W to achieve dynamic damage control during the cutting process.
[0018] To achieve the above objectives, a third aspect of the present invention provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor;
[0019] The memory stores computer-executed instructions;
[0020] The processor executes computer execution instructions stored in the memory to implement the method as described in any one of the first aspects.
[0021] To achieve the above objectives, a fourth aspect of the present invention provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of the first aspects.
[0022] To achieve the above objectives, a fifth aspect of the present invention provides a computer program product that, when executed by a processor, implements the method described in any one of the first aspects.
[0023] The technical solutions provided by the embodiments of the present invention bring at least the following beneficial effects: high-precision cutting of complex curved surfaces of offshore wind power composite blades (deviation ≤ ±0.1mm), effectively reducing the risk of fiber delamination and resin melting, with a cut roughness Ra≤1.6μm, no need for secondary grinding, and significantly improving cutting quality and processing efficiency.
[0024] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description
[0025] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:
[0026] Figure 1 This is a flowchart illustrating a high-precision cutting method for offshore wind turbine composite blades provided in an embodiment of the present invention.
[0027] Figure 2 This is a schematic diagram of a high-precision cutting device for offshore wind turbine composite blades provided in an embodiment of the present invention. Detailed Implementation
[0028] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.
[0029] Figure 1 This is a flowchart of a high-precision cutting method for offshore wind power composite material blades according to an embodiment of the present invention.
[0030] like Figure 1 As shown, the high-precision cutting method for offshore wind turbine composite material blades includes the following steps:
[0031] S1 uses a 3D LiDAR to perform a full-size scan of the area to be cut on the blade, generating a point cloud model. Based on the comparison between the point cloud model and the design model, a cutting path containing surface fitting compensation parameters is automatically generated.
[0032] Specifically, in the pre-processing stage before cutting in this invention, a three-dimensional lidar is first used to perform a full-size scan of the area to be cut on the blade. This technology is based on the principle of laser triangulation, which involves emitting a laser beam and receiving its reflected signals to calculate the coordinates of spatial points, thereby constructing a high-precision point cloud model. The selected lidar has a scanning accuracy of 0.05 mm and a scanning frequency exceeding 100 kHz, ensuring dense and uniform point cloud data on complex curved surfaces, with a scanning density of 100 points / mm. 2 The point cloud model is compared with the original design model using industrial 3D modeling software (such as UG / NX). Registration is performed using the least squares method or ICP algorithm to identify the deviation between the actual blade and the design model. Based on the deviation data, surface fitting compensation parameters are automatically generated. These compensation parameters include local curvature correction coefficients, tangent direction offset, and cutting depth compensation values. The compensation amount is typically controlled within 0.08 mm to ensure that the cutting path is highly consistent with the design contour.
[0033] In terms of implementation, this step uses an automated programming module to convert the compensated cutting path into motion commands for a multi-axis linkage platform. It supports coordinated control of X / Y / Z three-axis translation and A / B two-axis rotation, with a frequency response of up to 50Hz, achieving high dynamic precision path tracking. This step provides precise geometric guidance for subsequent laser-assisted composite cutting, a crucial prerequisite for achieving a cutting accuracy of ±0.1mm. Simultaneously, it provides a data foundation for real-time monitoring and dynamic adjustment, significantly improving the overall process stability and consistency.
[0034] Furthermore, S1 includes:
[0035] S11, the lidar scanning density is set to 100 points / mm. 2 This is to ensure high-precision matching of the point cloud model.
[0036] Specifically, in the three-dimensional scanning and positioning step of this invention, the laser radar scanning density is set to 100 points / mm. 2This step is a key technological step in achieving high-precision blade cutting. It involves acquiring high-density point cloud data to ensure the completeness and accuracy of the three-dimensional topographic information of the area to be cut, providing a reliable data foundation for subsequent cutting path generation and dynamic compensation.
[0037] At the technical implementation level, this scanning process employs a high-precision lidar system. Its working principle is based on time-of-flight or phase difference measurement technology. By emitting laser pulses and receiving reflected signals, it calculates the distance between the target surface and the radar, thereby constructing a high-density point cloud model. To meet the scanning requirements of the complex curved surfaces of offshore wind turbine blades, the lidar needs to have a measurement accuracy of 0.05 mm and support large-area scanning coverage (typically an area with a diameter of 3-5 m). In actual operation, the lidar operates at a rate of 100 points / mm. 2 Scanning at a density of 100 points means collecting 100 three-dimensional coordinate points per square millimeter, which significantly improves the spatial resolution and surface detail restoration capability of the point cloud model, providing high-fidelity data for subsequent path fitting and compensation algorithms.
[0038] From a parameter perspective, 100 points / mm 2 The high scanning density ensures that the point cloud model maintains sufficient sampling accuracy in areas of drastic change in blade surface (such as the root connection end), avoiding path fitting errors caused by insufficient sampling. By comparing the point cloud with the design digital model using industrial software such as UG / NX, the system can automatically generate path compensation parameters. The compensation amount is typically set to 0.08mm to offset deformation errors and installation deviations during blade manufacturing.
[0039] In application scenarios, this scanning step is suitable for high-precision applications such as excess material removal, cross-section trimming, and connection end processing after offshore wind turbine blade forming. Especially in areas with large diameters and complex curvature changes at the blade root, high-density scanning can effectively capture subtle morphological features, ensuring that the cutting path is highly consistent with the design model.
[0040] The technical effects of this step are significant. Its high-density scanning data provides a precise geometric reference for the subsequent laser-assisted cutting and adaptive adjustment of the multi-axis linkage platform, enabling the cutting accuracy to be controlled within ±0.1mm, which is more than 80% higher than the accuracy of traditional mechanical cutting. This ensures the airtightness and structural strength of the connection between the blade and the hub, and improves the overall operational stability and safety of the equipment.
[0041] S12, based on the deviation analysis between the point cloud model and the design model, automatically generates a cutting path containing a surface fitting compensation parameter of 0.08mm, which is used to correct the slight difference between the actual blade surface and the design model.
[0042] Specifically, in the pre-processing step before cutting in this invention, based on the deviation analysis between the point cloud model and the design model, the automatically generated cutting path includes a surface fitting compensation parameter of 0.08 mm. The technical implementation principle is based on three-dimensional geometric matching and error compensation algorithms. Specifically, a high-precision LiDAR is used to perform a full-size scan of the area to be cut on the blade, generating a point cloud model containing hundreds of thousands to millions of points. Its scanning accuracy can reach 0.05 mm, meeting the high-precision modeling requirements of the blade's complex surface. Subsequently, using industrial-grade CAD / CAM software such as UG / NX, Boolean operations and surface fitting analysis are performed between the point cloud model and the original design model to identify surface deviations caused by manufacturing errors or deformation. Based on the deviation distribution characteristics, the system automatically generates a compensation path using the least squares method or a B-spline surface fitting algorithm, where the compensation amount is set to 0.08 mm to cover the minute deformations that may occur during the blade's curing, transportation, or installation processes.
[0043] Regarding parameter settings, the generation of surface fitting compensation parameters needs to consider the characteristics of the blade material (such as the thermal expansion coefficient of GFRP or CFRP), environmental temperature and humidity changes (humidity is often >80% in offshore operations), and the geometric characteristics of the cutting tool (such as saw blade diameter, cutting angle, etc.). The compensation amount of 0.08mm is the optimal value obtained based on multiple process experiments and error statistics. It can effectively correct deviations while avoiding material waste or overcutting risks caused by overcompensation.
[0044] In practical applications, this step is mainly used for high-precision trimming of variable cross-section areas such as the blade root, tip, or connecting end, and is particularly suitable for correcting local deformations that occur in offshore wind turbine blades after transportation or installation. By introducing compensation parameters, the fit of the cutting path can be significantly improved, ensuring the consistency between the cut and the design model, thereby guaranteeing the assembly accuracy and aerodynamic performance of the blade and hub.
[0045] From a technical perspective, this compensation mechanism effectively solves the problem of cut deviation caused by insufficient rigidity or positioning error in traditional cutting, controlling the cutting accuracy within ±0.1mm, meeting the measurement accuracy requirements of ISO 5725-2, and providing a precise path foundation for subsequent laser-assisted cutting and multi-axis linkage control. It is a key preliminary step for achieving high-precision, low-damage cutting.
[0046] S2, depending on the type of blade material, a fiber laser is used to preheat along the cutting path, controlling the laser power and spot diameter to maintain the surface temperature of the material between 80-120°C, thereby reducing the bonding force between the fiber and resin interface.
[0047] Specifically, this step, "laser preheating treatment," is a key step in the high-precision cutting process of offshore wind turbine composite blades. Its core technology lies in using a fiber laser to controllably heat the surface of the blade material to reduce the bonding force between the fiber and resin interface, thereby improving the accuracy and quality of subsequent saw blade cutting.
[0048] In some implementations, this step employs a 1064nm wavelength fiber laser, with its output power precisely adjusted according to the material type. For glass fiber reinforced resin matrix composites (GFRP), the laser power is set to 60W with a spot diameter of 0.8mm; while for carbon fiber reinforced resin matrix composites (CFRP), the power is increased to 80W, and the spot diameter is reduced to 0.5mm. The laser is preheated 0.5-1s along the cutting path generated by the 3D scan, stabilizing the material surface temperature between 80-120℃. This temperature range effectively softens the resin matrix, reducing the interfacial bonding strength between the fiber and the resin, thereby minimizing fiber pull-out or delamination caused by abrupt changes in the material's shear strength during cutting.
[0049] From a technical perspective, laser preheating softens the surface resin locally through heat conduction, preventing carbonization or melting. This allows for controlled weakening of the material without damaging its overall structure. This process requires closed-loop control using a real-time infrared temperature measurement module to ensure temperature fluctuations do not exceed ±5℃, thus preventing overheating and subsequent resin performance degradation.
[0050] In practical applications, this step is typically performed during the pre-treatment stage before cutting, and is suitable for cutting complex curved surfaces such as blade roots and variable cross-section areas. Through this preheating treatment, the cutting resistance during saw blade cutting can be reduced by 15%-20%, and the kerf roughness Ra can be reduced from >3.2μm in traditional processes to ≤1.6μm, significantly improving processing quality and reducing subsequent finishing processes. Furthermore, this technology provides a good material response basis for the dynamic attitude adjustment of multi-axis linkage platforms, enhancing the tracking accuracy and stability of the cutting path, and is a key technological support for achieving high-precision, low-damage cutting.
[0051] Furthermore, S2 includes:
[0052] S21, when the material to be cut is GFRP, the laser power is set to 60W and the spot diameter is set to 0.8mm.
[0053] Specifically, in the "multimodal cutting execution" step of this invention, when the material to be cut is glass fiber reinforced resin matrix composite (GFRP), the laser power is set to 60W and the spot diameter is set to 0.8mm. This parameter configuration is based on the thermodynamic properties and interfacial bonding behavior of GFRP material, aiming to achieve controllable softening of the material and optimization of cutting resistance.
[0054] From a technical implementation perspective, this step employs a 1064nm wavelength fiber laser, focusing the laser beam to a spot diameter of 0.8mm using a focusing optics system to achieve localized preheating of the GFRP surface resin. With the laser power set to 60W, the material surface temperature can rise to 80-120℃ within a 0.8-second preheating time. This temperature range effectively softens the resin matrix, reducing the interfacial bonding strength between it and the glass fiber, while preventing resin carbonization or fiber melting, thus minimizing material damage in the cutting area. In some implementations, the laser path and the saw blade cutting path are synchronously offset by 0.5-1mm to ensure the preheated area coincides with the actual cutting path, improving cutting efficiency and quality.
[0055] Regarding parameter specifications, the selection of laser power and spot diameter must meet the temperature control requirements for composite material heat treatment according to ASTM D7264 standard, and also comply with the limitations of the heat-affected zone (HAZ) for cutting according to ISO 13920. A spot diameter of 0.8 mm can ensure an energy density of 75-90 W / mm². 2 Between these points, ensure that the heat conduction depth is controlled within 1-2mm, affecting only the surface resin without damaging the internal fiber structure.
[0056] In practical applications of offshore wind turbine blade manufacturing, this parameter setting is suitable for high-precision finishing of complex curved areas such as the blade root. Laser preheating effectively reduces fiber delamination and resin adhesion during saw blade cutting, improving the surface quality of the cut and meeting the airtightness and structural strength requirements of the blade-hub connection.
[0057] This step has significant technical effects, not only controlling the cut roughness Ra to below 1.2μm, but also reducing the fiber delamination rate to below 0.5%, thereby eliminating the need for secondary grinding in traditional processes and improving overall processing efficiency by more than 35%. It has good engineering practical value and innovation.
[0058] S22, when the material to be cut is CFRP, the laser power is set to 80W, the spot diameter is set to 0.5mm, and the laser irradiation advance time is controlled to be 0.8s during the preheating process.
[0059] Specifically, in the "multimodal cutting execution" step of this invention, when the material to be cut is carbon fiber reinforced resin matrix composite (CFRP), the laser power is set to 80W, the spot diameter is set to 0.5mm, and the laser irradiation advance time is controlled to be 0.8s during the preheating process. This step is based on a composite process of laser-assisted heating and diamond saw blade synergistic cutting, aiming to reduce cutting resistance through localized softening of the material, improve cut quality, and reduce fiber damage.
[0060] In terms of technical implementation, laser preheating uses a 1064nm wavelength fiber laser with a power density of approximately 256kW / cm². 2 (Based on a spot diameter of 0.5mm), pre-scanning heating is performed 0.8s before the cutting path. This timing parameter has been experimentally verified to ensure that the CFRP surface resin has softened to a suitable temperature (80-120℃) before the saw blade contacts the material, thereby weakening the interfacial bonding force between the fiber and the resin, reducing shear stress during sawing, and effectively suppressing fiber pull-out and delamination. Simultaneously, the 0.5mm spot diameter setting enables high-precision energy focusing, avoiding an excessively large heat-affected zone that could lead to resin carbonization or thermal deformation.
[0061] In terms of parameters, a laser power of 80W is typical for the thermal softening threshold of CFRP material. Combined with a 0.5mm spot diameter, it can achieve a material preheating effect of approximately 10-15mm, meeting the cutting requirements of uniform thickness structures at the blade root. The preheating advance time of 0.8s is matched with the saw blade feed speed (50-100mm / min) and the material's thermal conductivity characteristics, ensuring that heat energy is transferred to the cutting area in a timely manner, providing the optimal material condition for subsequent sawing.
[0062] In application scenarios, this parameter combination is particularly suitable for high-precision machining of CFRP structures in offshore wind turbine blades, such as the processing of the blade root and hub connection. In high-humidity, salt spray environments, laser assistance can reduce dust generation, and when combined with a negative pressure dust removal system, it significantly improves the safety of the working environment and the corrosion resistance of the equipment.
[0063] The technical benefits of this step are reflected in the following aspects: by precisely controlling the laser energy input and time, the material interface can be softened in a controllable manner, reducing the delamination rate of the cut to below 0.5% and the roughness Ra≤1.6μm, while improving the cutting efficiency by more than 30%. This provides a high-quality processing foundation for subsequent assembly and testing, and has significant engineering practical value and innovation.
[0064] S3, the diamond segment saw blade is driven by a multi-axis linkage platform to perform layered cutting along the cutting path, the layered cutting depth is set according to the material structure, and the saw blade posture is adjusted in real time at a frequency of 50Hz to keep it at an angle of 3°-5° with the tangent direction of the blade surface.
[0065] Specifically, this step is the saw blade cutting stage in "multimodal cutting execution." Its core lies in using a high-precision multi-axis linkage platform to achieve layered cutting of the composite material blade using a diamond segment saw blade, and adjusting the saw blade's attitude in real time at a frequency of 50Hz to maintain a 3°-5° angle with the tangent direction of the blade's curved surface. This technology is based on the principle of "laser-assisted + diamond saw blade composite cutting," combining the geometric characteristics of the blade's complex curved surface and the layered structure of the material to achieve high-precision, low-damage cutting results.
[0066] At the technical implementation level, the multi-axis linkage platform consists of a three-axis translation mechanism (X / Y / Z) and a two-axis rotation mechanism (A / B), possessing six degrees of freedom of motion capability. The platform uses a preset cutting path point cloud model, combined with real-time feedback of the blade surface's three-dimensional data, to dynamically adjust the spatial attitude of the saw blade via a motion controller at a refresh rate of 50Hz. The saw blade attitude adjustment primarily relies on the coordinated rotation of the A / B axes, ensuring that its cutting surface always maintains an angle of 3°-5° with the tangent direction of the blade's curved surface, thereby optimizing the cutting force distribution and reducing fiber tearing and resin melting.
[0067] Regarding parameters, the saw blade speed is set within the range of 3000-5000 r / min to balance cutting efficiency and surface quality; the feed rate is controlled at 50-100 mm / min to ensure a stable and controllable cutting process. The layer cutting depth is differentiated according to the material structure: 5-10 mm for each layer of the surface resin coating, and 15-20 mm for the core foam or honeycomb structure. In specific implementations, such as cutting a 6MW GFRP blade, the saw blade speed is set to 4000 r / min, the feed rate to 80 mm / min, and the layer depth to 8 mm / layer for the surface and 18 mm / layer for the core.
[0068] In application scenarios, this step is suitable for high-precision trimming and connection processing of complex variable cross-section areas such as the root and tip of offshore wind turbine blades. Under high humidity and salt spray environments, the platform has an IP67 protection rating, ensuring stable operation of moving parts and the control system. Simultaneously, the saw blade dynamically adjusts its angle of inclination to the curved surface by 3°-5°, effectively addressing fluctuations in cutting resistance caused by changes in blade curvature and improving cut consistency and surface finish.
[0069] This step yields significant technical benefits. Through layered cutting and real-time attitude adjustment, the kerf size deviation can be controlled within ±0.1mm, the surface roughness Ra≤1.6μm, and the fiber delamination rate reduced to below 0.5%. Simultaneously, cutting resistance is reduced, saw blade wear rate is decreased by 40%, tool life is extended, and overall cutting efficiency and process stability are improved. This is a key step in achieving high-precision, low-damage machining of offshore wind turbine blades.
[0070] Furthermore, S3 includes:
[0071] S31, the cutting depth of the surface material is set to 8mm / layer, and the cutting depth of the core material is set to 18mm / layer.
[0072] Specifically, in the multimodal cutting execution step of this invention, the cutting depth of the surface material is set to 8 mm / layer, and the cutting depth of the core material is set to 18 mm / layer. This is one of the key process parameters for achieving high-precision, low-damage cutting. This step is based on the structural characteristics of composite blades, namely, the surface layer is a wear-resistant resin coating (approximately 10 mm thick), the middle layer is glass fiber reinforced resin matrix composite (GFRP), and the core is a lightweight foam or honeycomb structure (approximately 10 mm thick). Through the layered cutting strategy, the cutting force and heat-affected zone are effectively controlled, thereby reducing material damage and improving machining accuracy.
[0073] In some implementations, the layered setting of cutting depth is achieved through the coordinated control of a CNC multi-axis linkage platform (X / Y / Z+A / B) and a diamond segment saw blade. The saw blade diameter is 300-500mm, and the segment particle size is 80-120 mesh. The cutting performance and material removal rate vary significantly across different layered structures. For the surface resin material, which has low hardness, a cutting depth of 8mm / layer avoids saw blade vibration due to overload, reduces resin melting and sticking to the blade, and ensures a cut surface roughness Ra≤1.6μm. For the core foam or honeycomb structure, which has lower density and shear strength, a cutting depth of 18mm / layer improves material removal efficiency while preventing structural collapse or saw blade misalignment due to excessive cutting depth.
[0074] Furthermore, the cutting depth setting in this step needs to be dynamically adjusted in conjunction with the temperature field distribution of laser-assisted preheating. The laser (1064nm fiber laser) locally softens the material before cutting, reducing the bonding force between the fiber and resin interface, thereby lowering sawing resistance. In actual operation, the cutting depth, feed rate (50-100mm / min), and saw blade rotation speed (3000-5000r / min) together constitute closed-loop control parameters. Real-time monitoring modules (such as a 1000fps high-speed camera and infrared temperature measurement system) provide feedback on the cut surface status and saw blade temperature, enabling adaptive adjustments to ensure a stable and controllable cutting process.
[0075] This step has significant technical value in the manufacturing of offshore wind turbine blades. By precisely controlling the cutting depth of each layer, not only is the cutting accuracy improved (≤±0.1mm), but the fiber delamination rate is also effectively reduced (<0.5%), minimizing secondary processing steps and improving overall processing efficiency. Simultaneously, a reasonable cutting depth setting helps control dust generation, achieving a dust concentration ≤1mg / m³ with a negative pressure dust removal system (-500 to -800Pa). 3 It meets the requirements of the "Technical Specifications for Environmental Protection of Offshore Wind Power Projects" and ensures the safety of the working environment and the long-term reliability of equipment operation.
[0076] S32, saw blade speed is set to 4000 r / min, feed speed is set to 80 mm / min, to balance cutting efficiency and cut quality.
[0077] Specifically, in the saw blade cutting step, setting the saw blade rotation speed to 4000 r / min and the feed rate to 80 mm / min is one of the key process parameters for achieving high-precision, low-damage cutting of offshore wind turbine composite blades. This parameter combination is optimized based on material properties, equipment performance, and environmental adaptability, aiming to balance cutting efficiency and cut quality.
[0078] From a technical implementation perspective, this step utilizes diamond segmented saw blades with a diameter of 300-500mm and a segment particle size of 80-120 mesh, suitable for efficient cutting of composite materials such as GFRP and CFRP. The saw blade speed is set to 4000 rpm to ensure sufficient cutting energy in the saw teeth, overcoming the weak interfacial bonding between fibers and resin in composite materials, while avoiding thermal deformation of the saw blade or melting of the resin due to excessive speed. A feed rate of 80mm / min is the optimal choice to maximize material removal rate per unit time while ensuring cutting stability; compared to the 50-70mm / min feed rate in traditional processes, this represents an efficiency improvement of approximately 15%-20%.
[0079] At the parameter level, the matching of saw blade rotation speed and feed rate must ensure that the specific cutting energy is controlled within a reasonable range, typically 1.2-1.8 kJ / cm. 3 This reduces fiber delamination and burr formation. Simultaneously, this parameter combination needs to be used in conjunction with a multi-axis linkage platform for dynamic attitude adjustment at a frequency of 50Hz, ensuring that the saw blade maintains a 3°-5° inclination angle with the tangential direction of the blade surface, thereby reducing cutting resistance and improving cut smoothness. The cut roughness Ra is required to be ≤1.6μm, meeting the requirements for precision machined surface quality in ISO 1302 standard.
[0080] In application scenarios, this parameter setting is suitable for high-precision trimming of variable cross-section areas such as the blade root, especially in the cutting of GFRP blades with a diameter of 3.8m and a thickness of 50mm, effectively addressing the problem of uneven cutting caused by multi-layer structures. Combined with laser-assisted preheating (60W, 0.8mm spot diameter), the saw blade can further reduce interfacial bonding forces and improve cut quality during cutting.
[0081] This step yields significant technical benefits, not only controlling the kerf size deviation within 0.07mm, meeting the high precision requirement of ±0.1mm, but also effectively suppressing fiber delamination, achieving a kerf roughness Ra of 1.2μm, significantly superior to traditional processes. Furthermore, the optimized matching of rotational speed and feed rate reduces saw blade wear rate by 40%, extending tool life and improving the overall economic efficiency and sustainability of the process.
[0082] S4 uses a high-speed camera to capture the cutting status in real time. When fiber delamination is detected to exceed 0.1mm, it automatically reduces the feed speed by 10%-20% and increases the laser power by 5-10W to achieve dynamic damage control during the cutting process.
[0083] Specifically, this step is a key control link in "real-time monitoring and adjustment," and its technical implementation is based on a closed-loop control mechanism of high-speed visual feedback and dynamic adjustment of cutting parameters. During the cutting process, an industrial high-speed camera with a frame rate of no less than 1000fps is used to continuously acquire and process images of the cut area in real time. This camera is typically equipped with a high-resolution CMOS sensor (≥1280×1024 pixels) and a narrow-angle lens to ensure that clear cut images can be obtained even in complex curved surface environments. The image processing algorithm is based on edge detection and feature matching techniques, such as the Canny operator and Hough transform, combined with a preset fiber layer thickness and delamination threshold (0.1mm), which can quickly identify whether fiber delamination defects occur at the cut.
[0084] When the system detects that fiber delamination exceeds a set threshold, the control module triggers an adaptive adjustment mechanism, adjusting the cutting parameters in real time via PLC or motion controller. Specifically, the feed rate will automatically decrease by 10%-20% (e.g., from 80mm / min to 64-72mm / min) to reduce the impact of the saw blade on the material, while the laser power will be increased by 5-10W (e.g., from 60W to 65-70W) to further soften the material surface and enhance the controllability of fiber-resin interface delamination. This adjustment strategy is based on the material's thermal softening characteristics and cutting mechanics model, ensuring effective suppression of delamination propagation without damaging the material structure.
[0085] This step is of significant value in the cutting process of offshore wind turbine blades, especially in addressing the interfacial fragility of composite materials such as GFRP / CFRP, enabling real-time damage detection and compensation control. Combined with the 50Hz dynamic attitude adjustment capability of the multi-axis linkage platform, this closed-loop feedback mechanism significantly improves the stability and controllability of the cutting process, providing a key guarantee for achieving the high precision requirements of cut roughness Ra≤1.6μm and dimensional deviation≤±0.1mm.
[0086] The high-precision cutting method for offshore wind turbine composite blades in this invention achieves high-precision cutting of offshore wind turbine composite blades (deviation ≤ ±0.1mm, roughness Ra ≤ 1.6μm), significantly reduces material damage and dust emissions (dust reduction ≥ 90%), improves cutting efficiency, and enhances the corrosion resistance of equipment in salt spray environments.
[0087] Furthermore, S4 includes:
[0088] The S41 high-speed camera's frame rate is set to 1000fps to ensure real-time capture of the cut status.
[0089] Specifically, in the "multimodal cutting execution" step of this invention, the frame rate of the high-speed camera is set to 1000fps. Its technical implementation principle is based on high-speed image acquisition and real-time image processing technology, aiming to achieve high-precision and high-time-efficiency dynamic monitoring of the cut surface state during the cutting process of composite material blades. This step achieves real-time feedback on cutting quality and adaptive parameter adjustment through closed-loop linkage between the high-speed vision system and the control system.
[0090] In some implementations, the high-speed camera uses a CMOS image sensor with a global shutter function to avoid motion blur. Its resolution is 1280×1024 pixels, with a frame rate of up to 1000fps and a single-frame image acquisition time of approximately 1ms. The camera is mounted above the cutting platform at a 45° angle to the saw blade's cutting path to obtain the optimal imaging angle for the cut. Image data is transmitted in real-time to the image processing unit via a GigE Vision or Camera Link high-speed interface. The processing algorithm is based on the OpenCV or Halcon platform and employs edge detection and surface defect recognition technologies to identify anomalies such as fiber delamination, burrs, and cracks in the cut area.
[0091] In terms of parameter specifications, the frame rate setting of the high-speed camera must meet the matching relationship between the cutting feed speed and the image acquisition frequency. In this invention, the saw blade feed speed is 50-100 mm / min, corresponding to a cut movement speed of approximately 0.83-1.67 mm / s. A frame rate of 1000 fps ensures that the cut displacement in each frame is less than 0.1 mm, thereby ensuring continuous and thorough monitoring of the cut status. Simultaneously, the image processing system sets a layering judgment threshold of 0.1 mm. When an anomaly is detected, the control system can dynamically adjust the feed speed and laser power within 200 ms.
[0092] In practical applications, this step is suitable for cutting complex curved surfaces such as the root and variable cross-section areas of offshore wind turbine blades. Especially in high humidity and salt spray environments, traditional manual monitoring is difficult to guarantee consistency, while high-speed cameras can provide stable and repeatable visual feedback. Its technical value lies in significantly improving the intelligence level of the cutting process, realizing real-time closed-loop control of cut quality, thereby effectively reducing fiber delamination rate, improving cut surface quality, and ensuring blade structural integrity and aerodynamic performance. This is the key technical support for achieving high-precision, low-damage cutting in this invention.
[0093] S42, when the infrared temperature measurement module detects that the saw blade temperature exceeds 200℃, the micro-lubrication system is activated to lubricate and cool the saw blade with oil mist at a rate of 5-10mL / h.
[0094] Specifically, when the infrared temperature measurement module detects that the saw blade temperature exceeds 200℃, the system will automatically activate the micro-lubrication system to lubricate and cool the saw blade at a rate of 5-10 mL / h. This step, based on thermodynamics and tribology principles, aims to effectively suppress abnormal temperature rise caused by frictional heat generation during high-speed cutting of composite materials through real-time temperature monitoring and precise lubrication control. This prevents problems such as saw blade material performance degradation, shortened tool life, and reduced cut quality.
[0095] In terms of technical implementation, the infrared temperature measurement module adopts non-contact temperature measurement technology, typically using a near-infrared sensor with a wavelength range of 1.55μm to 1.65μm. It has a temperature measurement accuracy of ±1℃ and a resolution of 0.1℃, and can collect saw blade surface temperature data in real time. When the temperature exceeds the set threshold (200℃), the control system triggers the micro-lubrication system. This system consists of a high-pressure atomizer, a precision metering pump, and a multi-hole nozzle. It uses compressed air to atomize the lubricating oil into micron-sized oil mist particles with a particle size between 1-5μm, which are then evenly sprayed onto the saw blade cutting area to form a thin and stable lubricating film, reducing the coefficient of friction and enhancing heat dissipation efficiency.
[0096] Regarding parameter settings, the oil mist rate is controlled within the range of 5-10 mL / h, ensuring lubrication while preventing oil accumulation that could lead to cut surface contamination or resin adhesion. The lubrication system response time is ≤0.3s, ensuring rapid intervention after temperature anomalies occur and maintaining the saw blade's operating temperature within the safe range (≤180℃). The lubricating oil typically selected is an ISO VG 32 grade synthetic ester lubricant, possessing good high-temperature stability and oxidation resistance, and conforming to the GB / T 7631.1-2008 lubricating oil classification standard.
[0097] This step plays a crucial role in the cutting process of composite material blades for offshore wind power. In high-humidity, salt spray environments, the continuous high-speed rotation of the saw blade cutting multi-layered composite materials easily leads to tool softening, accelerated wear, and even cut quality defects due to frictional heat. A micro-lubrication system achieves precise cooling, which not only extends the saw blade's lifespan but also significantly improves cutting stability and surface quality, ensuring the achievement of high-precision machining goals with a cut roughness Ra≤1.6μm and dimensional deviation ≤±0.1mm. Furthermore, this technical solution meets the requirements for corrosion resistance (corrosion rate ≤0.01mm / year) and environmental friendliness (dust emissions ≤1mg / m³) in offshore operations. 3 It meets the stringent requirements of engineering and has significant practical value and innovation.
[0098] The high-precision cutting method for offshore wind turbine composite blades in this invention achieves high-precision cutting of offshore wind turbine composite blades (deviation ≤ ±0.1mm, roughness Ra ≤ 1.6μm), significantly reduces material damage and dust emissions (dust reduction ≥ 90%), improves cutting efficiency, and enhances the corrosion resistance of equipment in salt spray environments.
[0099] S5. After cutting, use an ultrasonic grinding head with a frequency of 20-30kHz to trim the cut, remove residual resin burrs, and make the cut roughness Ra≤1.6μm.
[0100] Specifically, after cutting, the cut is finished by using an ultrasonic grinding head with a frequency of 20-30kHz. This is a key post-processing step in the "High-Precision Cutting Process of Offshore Wind Power Composite Blades" of this invention. The aim is to remove residual resin burrs from the cutting process, improve the surface quality of the cut, and ensure that its roughness Ra≤1.6μm. This step is based on the principle of ultrasonic vibration-assisted grinding. High-frequency vibration causes abrasive particles to generate periodic impacts and micro-cutting effects on the cut surface, thereby achieving efficient and low-damage finishing of the composite material surface.
[0101] In some implementations, the ultrasonic grinding head consists of a piezoelectric ceramic transducer, an amplitude transformer, and a grinding head assembly. Its operating frequency is set to 20-30 kHz, and the amplitude range is 10-30 μm, which can be dynamically adjusted according to the material's hardness and surface condition. The grinding head surface is typically embedded with diamond abrasive particles of 80-120 mesh size, bonded with resin or ceramic, to meet the finishing needs of GFRP or CFRP composite materials. During the grinding process, a servo control system ensures precise contact between the grinding head and the cut surface, employing a reciprocating or spiral path for multi-pass finishing. The finishing speed is controlled at 10-20 mm / s, and the pressure is 0.5-1.5 N / cm². 2 This is to avoid causing secondary damage to the fiber structure.
[0102] In terms of parameters, this step requires the surface roughness Ra of the cut to be ≤1.6μm, conforming to the definition of a precision-machined surface in ISO 4287. Simultaneously, the vibration frequency and amplitude of the grinding head must meet the stability and efficiency requirements for high-frequency vibration systems in GB / T17165-1997 "Technical Conditions for Ultrasonic Cleaning Equipment". In application scenarios, this finishing process is suitable for the cutting treatment of joints such as the root and tip of offshore wind turbine blades. Especially in high humidity and salt spray environments, it can effectively prevent resin re-curing or surface oxidation, ensuring the airtightness and structural strength of subsequent assembly.
[0103] In terms of technical effects, this step not only significantly improves the surface finish of the cut, but also effectively removes resin burrs and fiber burrs generated by cutting, avoiding fiber tearing or resin melting that may be caused by traditional mechanical grinding. This achieves a highly efficient process of cutting and finishing in one go, providing a reliable guarantee for the high-precision assembly and long-term operational stability of the blades.
[0104] The high-precision cutting method for offshore wind turbine composite blades in this invention uses a 20-30kHz ultrasonic grinding head to trim the cut after cutting, further removing residual resin burrs. This not only ensures a high surface quality with a cut roughness Ra≤1.6μm, but also effectively reduces secondary surface damage such as microcracks, improving the structural integrity and long-term service reliability of the blade.
[0105] To achieve the above embodiments, the present invention also proposes a high-precision cutting device for offshore wind power composite material blades. Figure 2 This is a schematic diagram of a high-precision cutting device for offshore wind turbine composite blades provided in an embodiment of the present invention. Figure 2 As shown, the device includes:
[0106] The 3D scanning and modeling module 100 is used to perform a full-size scan of the area to be cut on the blade using a 3D LiDAR, generate a point cloud model, and automatically generate a cutting path containing surface fitting compensation parameters based on the comparison between the point cloud model and the design model.
[0107] The laser preheating control module 200 is used to preheat the blade material along the cutting path using a fiber laser, and to control the laser power and spot diameter to maintain the surface temperature of the material between 80-120°C, so as to reduce the bonding force between the fiber and the resin interface.
[0108] The multi-axis layer cutting module 300 is used to drive the diamond segment saw blade to perform layer cutting along the cutting path through the multi-axis linkage platform, set the layer cutting depth according to the material structure, and adjust the saw blade posture in real time at a frequency of 50Hz to keep it at an angle of 3°-5° with the tangent direction of the blade surface.
[0109] The 400 kerf status monitoring and control module is used to capture the kerf status in real time using a high-speed camera. When fiber delamination is detected to exceed 0.1mm, the feed speed is automatically reduced by 10%-20% and the laser power is increased by 5-10W to achieve dynamic damage control during the cutting process.
[0110] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.
[0111] To implement the above embodiments, the present invention also proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer execution instructions; the processor executes the computer execution instructions stored in the memory to implement the method provided in the foregoing embodiments.
[0112] To implement the above embodiments, the present invention also proposes a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the methods provided in the foregoing embodiments.
[0113] To implement the above embodiments, the present invention also proposes a computer program product, including a computer program that, when executed by a processor, implements the methods provided in the foregoing embodiments.
[0114] The collection, storage, use, processing, transmission, provision, and disclosure of user personal information involved in this invention all comply with the provisions of relevant laws and regulations and do not violate public order and good morals.
[0115] It should be noted that personal information collected from users should be used for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. Furthermore, such collection / sharing should only be conducted after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign an agreement / authorization that includes authorization of relevant user information before the user uses the function. In addition, any necessary steps must be taken to protect and safeguard access to such personal information data and ensure that others with access to personal information data comply with their privacy policies and procedures.
[0116] This invention is intended to provide implementation schemes for users to selectively prevent the use or access to personal information data. That is, this disclosure is intended to provide hardware and / or software to prevent or block access to such personal information data. Once personal information data is no longer needed, risks can be minimized by restricting data collection and deleting data. Furthermore, where applicable, such personal information can be de-identified to protect user privacy.
[0117] In the foregoing descriptions of the embodiments, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.
[0118] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.
[0119] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of the invention pertain.
[0120] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.
[0121] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any of the following techniques known in the art, or a combination thereof: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.
[0122] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it includes one or a combination of the steps of the method embodiments.
[0123] Furthermore, the functional units in the various embodiments of the present invention can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.
[0124] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.
[0125] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.
[0126] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.
Claims
1. A high-precision cutting method for composite material blades for offshore wind power, characterized in that, include: S1 uses a 3D LiDAR to perform a full-size scan of the area to be cut on the blade, generates a point cloud model, and automatically generates a cutting path containing surface fitting compensation parameters based on the comparison between the point cloud model and the design model. S2, depending on the type of blade material, a fiber laser is used to preheat along the cutting path, and the laser power and spot diameter are controlled to maintain the surface temperature of the material between 80-120°C, so as to reduce the bonding force between the fiber and the resin interface. S3, the diamond segment saw blade is driven by a multi-axis linkage platform to perform layered cutting along the cutting path, the layered cutting depth is set according to the material structure, and the saw blade posture is adjusted in real time at a frequency of 50Hz to keep it at an angle of 3°-5° with the tangent direction of the blade surface. S4 uses a high-speed camera to capture the cutting status in real time. When fiber delamination is detected to exceed 0.1mm, it automatically reduces the feed speed by 10%-20% and increases the laser power by 5-10W to achieve dynamic damage control during the cutting process.
2. The method as described in claim 1, characterized in that, The process involves using a 3D LiDAR to perform a full-size scan of the area to be cut on the blade, generating a point cloud model, and automatically generating a cutting path including surface fitting compensation parameters based on a comparison between the point cloud model and the design digital model. The process also includes: S11, the lidar scanning density is set to 100 points / mm. 2 To ensure high-precision matching of point cloud models; S12, based on the deviation analysis between the point cloud model and the design model, automatically generates a cutting path containing a surface fitting compensation parameter of 0.08mm, which is used to correct the slight difference between the actual blade surface and the design model.
3. The method as described in claim 1, characterized in that, The method of preheating along the cutting path using a fiber laser, based on the blade material type, and controlling the laser power and spot diameter to maintain the material surface temperature between 80-120°C to reduce the interfacial bonding force between the fiber and resin, also includes: S21, when the material to be cut is GFRP, the laser power is set to 60W and the spot diameter is set to 0.8mm; S22, when the material to be cut is CFRP, the laser power is set to 80W, the spot diameter is set to 0.5mm, and the laser irradiation advance time is controlled to be 0.8s during the preheating process.
4. The method as described in claim 1, characterized in that, The method of driving a diamond segmental saw blade along the cutting path to perform layered cutting via a multi-axis linkage platform, setting the layered cutting depth according to the material structure, and adjusting the saw blade posture in real time at a frequency of 50Hz to maintain a 3°-5° inclination angle with the tangent direction of the blade surface, also includes: S31, the cutting depth of the surface material is set to 8mm / layer, and the cutting depth of the core material is set to 18mm / layer; S32, saw blade speed is set to 4000 r / min, feed speed is set to 80 mm / min, to balance cutting efficiency and cut quality.
5. The method as described in claim 1, characterized in that, The method utilizes a high-speed camera to capture the cut status in real time. When fiber delamination exceeding 0.1mm is detected, the feed speed is automatically reduced by 10%-20% and the laser power is increased by 5-10W to achieve dynamic damage control during the cutting process. It also includes: The S41 high-speed camera's frame rate is set to 1000fps to ensure real-time capture of the cut status. S42, when the infrared temperature measurement module detects that the saw blade temperature exceeds 200℃, the micro-lubrication system is activated to lubricate and cool the saw blade with oil mist at a rate of 5-10mL / h.
6. The method as described in claim 1, characterized in that, Also includes: S5. After cutting, use an ultrasonic grinding head with a frequency of 20-30kHz to trim the cut, remove residual resin burrs, and make the cut roughness Ra≤1.6μm.
7. A high-precision cutting device for composite material blades of offshore wind turbines, characterized in that, include: The 3D scanning and modeling module is used to perform a full-size scan of the area to be cut on the blade using a 3D LiDAR, generate a point cloud model, and automatically generate a cutting path including surface fitting compensation parameters based on the comparison between the point cloud model and the design model. The laser preheating control module is used to preheat the blade material along the cutting path using a fiber laser, and to control the laser power and spot diameter to maintain the surface temperature of the material between 80-120°C, thereby reducing the bonding force between the fiber and resin interface. The multi-axis layer cutting module is used to drive the diamond segment saw blade to perform layer cutting along the cutting path through the multi-axis linkage platform. The layer cutting depth is set according to the material structure, and the saw blade posture is adjusted in real time at a frequency of 50Hz to keep it at an angle of 3°-5° with the tangent direction of the blade surface. The cut status monitoring and control module is used to capture the cut status in real time using a high-speed camera. When fiber delamination is detected to exceed 0.1mm, the feed speed is automatically reduced by 10%-20% and the laser power is increased by 5-10W to achieve dynamic damage control during the cutting process.
8. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1-6.
9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-6.
10. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method of any one of claims 1-6.