A method and system for machining a profiled rib of a thin-walled annular member

Abstract

The application discloses a processing method and system of a ring-shaped thin-wall component work type rib, solves the problem that the existing laser secondary engraving type depends on an ideal model to output a processing track, and makes the rib width of a light-weight structure out of tolerance, rib shoulders asymmetric, and consistency low. The application integrates a 3D sensor and a double-pivot laser processing head, can convert the coordinate system of the 3D sensor to a workpiece coordinate system, thereby obtaining the real coordinates of the workpiece on a machine tool, simplifying the generation process of the engraving track, and making the processing method of the ring-shaped thin-wall component work type rib easy to operate, without the need of modifying the existing laser processing device, and wide in application range.

Description

Technical Field

[0001] This invention relates to laser engraving methods, specifically to a method and system for processing I-shaped ribs of annular thin-walled components. Background Technology

[0002] Large, thin-walled components of aero-engines, such as the casing, serve as the "skeleton" of the engine, and the manufacturing quality of their lightweight surface structure directly impacts the aircraft's range and power performance. "Molding + chemical etching (chemical milling)" is currently the primary method for achieving lightweight manufacturing of aero-engine casings, with the precision and quality of the molding directly affecting the component's rigidity. Traditional methods involve only one molding and chemical milling step, resulting in a large-beveled arc-shaped structure. However, the depth of this single molding and chemical milling step is limited while maintaining the required width of the reinforcing ribs, preventing further weight reduction. Therefore, a second molding and chemical milling step was proposed: the rib sides formed after the first chemical milling step are molded and chemically milled again, forming an "I"-shaped structure. This allows for a further increase in the chemical milling depth while maintaining the required reinforcing rib width, further reducing the weight of the casing components. The resulting "I"-shaped (or goblet-shaped) structure exhibits better rigidity, and the entire casing can be reduced in weight by several kilograms, which is crucial for the development of new engines.

[0003] The casing has a diameter exceeding 1 meter and is a thin-walled part, with a deformation of approximately 0.1mm-0.3mm in the raw part. After a single patterning and chemical milling process, the part deforms due to a weight loss of over 30% caused by chemical milling. Chemical milling has low precision and poor consistency; the rib shoulder structure formed by a single chemical milling operation exhibits inconsistent shapes on both sides, with a precision error of approximately 0.5mm. Therefore, the geometric features after a single chemical milling operation are unknown and differ significantly from the theoretical model.

[0004] Currently, Wang Jian and colleagues at Beijing University of Aeronautics and Astronautics, in their project "Study on Model and Experimental of Laser Scribing Parameter of Maskant in Chemical Milling for Aerospace Applications," have established an ideal 3D model and used UG to output the machining trajectory based on the 3D model. However, on the one hand, there is a near-millimeter-level error between the model and the actual geometry, resulting in out-of-tolerance rib widths, asymmetrical rib shoulders, and low consistency in lightweight structures, making it impossible to machine a qualified "I"-shaped structure. On the other hand, the side edges of the arc-shaped structure obtained by a single chemical milling operation are close to 90° with the 3D sensor, making it impossible to obtain all the point cloud data. The structural information of the surface of the annular thin-walled component is incomplete, and the 3D sensor cannot obtain all the information of the actual 3D model. How to use the measured point cloud data for secondary sizing has become a challenge. Summary of the Invention

[0005] To address the technical problems of existing laser secondary engraving methods that rely on ideal models to output processing trajectories, resulting in rib width deviations, rib shoulder asymmetry, and low consistency in lightweight structures, this invention provides a processing method and system for I-shaped ribs of annular thin-walled components.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] A method for processing I-shaped ribs in annular thin-walled components, characterized by the following steps:

[0008] Step 1: System initialization;

[0009] Place the annular thin-walled component to be processed, which has been coated with protective adhesive, on the rotary worktable, so that the central axis of the annular thin-walled component to be processed coincides with the rotation axis of the rotary worktable, and align the circumferential references of the two.

[0010] Step 2, First engraving;

[0011] A dual-axis laser processing head is used to perform a single engraving along a preset engraving trajectory on the surface of the annular thin-walled component to be processed, forming a closed trajectory.

[0012] Step 3: One-time milling;

[0013] Remove the protective adhesive within the closed trajectory on the surface of the annular thin-walled component to be processed, then perform chemical milling on it once, and then remove all the protective adhesive to obtain the annular thin-walled component to be processed with an arc-shaped reinforcing rib structure on the surface.

[0014] Step 4: Boundary information identification;

[0015] The component after one-time chemical milling is placed on the rotary table again, so that the central axis of the annular thin-walled component to be processed coincides with the rotation axis of the rotary table. Point cloud data of each complete corrosion area on the surface of the annular thin-walled component to be processed after one-time chemical milling are collected, and the corrosion areas on the surface of the annular thin-walled component to be processed are extracted. Boundary information recognition is performed on the corrosion areas to obtain the boundary contour of the one-time chemical milling structure.

[0016] Step 5: Calculation;

[0017] The tool tip position and tool posture are calculated based on the identified boundary contour; at the same time, a secondary engraving trajectory is generated based on the identified boundary contour.

[0018] Step 6: Secondary pattern making and chemical milling;

[0019] After spraying protective adhesive again onto the surface of the annular thin-walled component to be processed, it is placed on a rotary table so that the central axis of the annular thin-walled component to be processed coincides with the rotation axis of the rotary table and the two are aligned in the circumferential reference. A double-axis laser processing head is used to perform secondary engraving on the surface of the annular thin-walled component to be processed along the secondary engraving trajectory based on the calculated tool tip position and tool posture. Then, secondary milling is performed to form I-shaped ribs on the surface.

[0020] Step 8: Testing;

[0021] The I-shaped ribs of the annular thin-walled component to be processed after secondary engraving and chemical milling are inspected; if the I-shaped ribs do not meet the requirements, the annular thin-walled component to be processed is scrapped; if the I-shaped ribs meet the requirements, the processing is completed.

[0022] Furthermore, after step 4 and before step 5, there is also a boundary contour optimization step:

[0023] The identified boundary contours are optimized, with small curvature boundaries being approximately smoothed and large curvature boundaries having their cusps removed to obtain closed boundary contours.

[0024] Step 5 specifically involves calculating the tip position and tool posture based on the identified closed boundary contour; and simultaneously generating a secondary engraving trajectory based on the identified closed boundary contour.

[0025] Further, in step 4, the acquisition of point cloud data for each complete etched region on the surface of the annular thin-walled component to be machined after a single chemical milling operation specifically involves:

[0026] Point cloud data of each complete etched area on the surface of the annular thin-walled component to be machined after a single chemical milling operation were collected using 3D sensors.

[0027] Further, in step 4, the extraction of the corrosion area on the surface of the annular thin-walled component to be processed specifically involves:

[0028] Noisy point clouds in the point cloud data are filtered out by radius filtering, and then the corrosion area on the surface of the annular thin-walled component to be processed is extracted by semantic feature recognition and cluster segmentation.

[0029] Further, in step 4, the boundary information identification of the eroded area to obtain the boundary contour of the one-time milled structure is specifically as follows:

[0030] The boundary information of the eroded area is identified by the alpha shapes algorithm to obtain the boundary contour of the single-milled structure.

[0031] A machining system for annular thin-walled structural members with I-shaped ribs, used to implement the above-mentioned machining method for annular thin-walled structural members with I-shaped ribs, is characterized in that it includes:

[0032] Machine tools used for setting up dual-axis lasers;

[0033] A rotary table for supporting annular thin-walled components;

[0034] A dual-axis laser processing head for primary and secondary engraving on the surface of annular thin-walled components;

[0035] A chemical etching unit used for primary chemical milling and secondary patterning of annular thin-walled components;

[0036] An optical system for acquiring point cloud data of the surface of a ring-shaped thin-walled component;

[0037] A calculation unit for calculating and optimizing the profile information of the corrosion area after one-time milling of annular thin-walled components.

[0038] Furthermore, the optical system is a 3D sensor.

[0039] The beneficial effects of this invention are:

[0040] 1. The present invention provides a processing method and system for I-shaped ribs of annular thin-walled components, which integrates a 3D sensor and a dual-axis laser processing head. The coordinate system of the 3D sensor can be converted to the workpiece coordinate system, thereby obtaining the actual coordinates of the workpiece on the machine tool. This simplifies the generation process of the engraving trajectory, making the processing method for I-shaped ribs of annular thin-walled components easy to operate, requiring no modification to existing laser processing equipment, and has a wide range of applications.

[0041] 2. The present invention provides a processing method and system for annular thin-walled I-shaped ribs. By obtaining the boundaries of corroded and uncorroded areas, simplifying the small curvature boundaries and optimizing the large curvature boundaries, the trajectory of the laser focus and the tool posture are directly calculated. It has good applicability and simple method, and can improve the following performance of the engraving trajectory and boundaries.

[0042] 3. The present invention provides a processing method and system for annular thin-walled component I-shaped ribs, which significantly improves the accuracy and consistency of secondary engraving compared to the existing method of using an ideal model to output the processing trajectory.

[0043] 4. The present invention provides a processing method and system for annular thin-walled component I-shaped ribs, which is suitable for customized secondary engraving manufacturing of parts with large chemical milling errors and has a high degree of automation. Attached Figure Description

[0044] Figure 1 This is a schematic diagram of the optical path of the optical system in an embodiment of the present invention;

[0045] Figure 2 This is a schematic diagram of point cloud data collected in an embodiment of the present invention;

[0046] Figure 3This is a schematic diagram of the boundary feature recognition results in an embodiment of the present invention;

[0047] Figure 4 This is a schematic diagram of the laser focus trajectory calculated in an embodiment of the present invention;

[0048] Figure 5 This is a schematic diagram of the first etching and the resulting arc-shaped structure in an embodiment of the present invention;

[0049] Figure 6 This is a schematic diagram of the secondary etching and the resulting arc-shaped structure in an embodiment of the present invention;

[0050] Figure 7 This is a schematic diagram illustrating the calculation of the blade tip position and blade posture in an embodiment of the present invention.

[0051] Reference numerals: 1-Optical system, 2-Dual-axis laser processing head, 3-3D sensor, 4-Annular thin-walled component, 5-Rotary worktable. Detailed Implementation

[0052] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings and embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0053] This embodiment provides a method for processing I-shaped ribs in annular thin-walled components, such as... Figure 1 As shown, a 3D sensor 3 is integrated into the dual-axis laser processing head 2, so that the 3D sensor 3 and the laser system are physically connected and fixed. The machine tool (X / Y / Z / C axis) moves a specific distance to capture the point cloud of a specially made three-sided calibration block, and the coordinates of its spatial point cloud are calibrated by distance. When the dual-axis laser processing head 2 is at zero position, a small pit is bombarded on the glue-coated plate with the laser focus (at this time, the coordinates of the bottom center of the glue layer pit in the machine tool coordinate system are known). The 3D sensor 3 captures the pit, and the point cloud coordinates of its bottom center point are established with the machine tool coordinate system. After the annular thin-walled component 4 is shaped and chemically milled once, many corrosion features are formed on the surface. After removing the surface glue layer and re-aligning the position, the 3D sensor 3 moves through the Z-axis and rotates the rotary table 5 to obtain the complete point cloud data of each closed feature on the surface of the annular thin-walled component 4. After point cloud filtering, clustering segmentation and boundary recognition, the boundary of the corrosion area is obtained. After optimizing and calculating the boundary contour, the trajectory of the laser focus and the tool posture are obtained, and the machining code is output to complete the secondary patterning of the annular thin-walled component 4. This method is suitable for customized secondary patterning manufacturing of parts with large chemical milling errors, and features high automation and high precision. The specific steps are as follows:

[0054] Step 1: Fix the annular thin-walled component 4;

[0055] The annular thin-walled component 4 is placed on the flexible clamping system, with the bottom surface of the annular thin-walled component 4 parallel to the XY plane.

[0056] Step 2: Adjust the annular thin-walled component 4 to be coaxial with the rotary table 5;

[0057] The flexible clamping system is mounted on the rotary table 5 and includes two adjusting motors and a distance sensor. The two adjusting motors move in perpendicular directions, and the distance sensor is independently mounted on the dual-axis laser processing head 2. The rotary table 5 is rotated so that the two adjusting motors move parallel to the X and Y directions, respectively, and the coordinates of the rotary table 5 are set to zero. Keeping the distance sensor stationary, the rotary table 5 is rotated to 0°, 90°, 180°, and 270°, and paused at each position for 5 seconds. The distance sensor readings of the annular thin-walled component 4 are measured when the rotary table 5 is rotated to 0°, 90°, 180°, and 270°. These readings are fed back to the control system of the flexible clamping system. The control system automatically calculates the adjustment amount and direction, ensuring that the difference between 0° and 180°, and between 90° and 270°, is less than the required error. The position adjustment of the annular thin-walled component 4 on the rotary table 5 is then complete, and the center of the annular thin-walled component 4 can be considered to coincide with the rotary table 5.

[0058] Step 3: Adjust the circumferential position of the annular thin-walled component 4 so that the line connecting the circumferential target point and the center of the rotating surface it is located is parallel to the Y-axis of the machine tool.

[0059] Rotate the A-axis and C1-axis of the double-axis laser processing head 2 to the zero position. When the X-axis of the machine tool is at the X0 coordinate, move the Y-axis laser focus past the center of the rotary table 5. Keep the X-axis at X0 and the A-axis and C1-axis at the zero position, move the Y-axis and Z-axis so that the laser focus coincides with the target point in the circumference of the annular thin-walled component 4, and record the coordinate C0 of the rotary table 5 at this time.

[0060] Step 4: One-time engraving and chemical milling of the annular thin-walled component 4;

[0061] like Figure 5 As shown, the X / Y / Z axes drive the A and C axes of the dual-axis laser processing head 2 to achieve five-axis linkage, complete one engraving of the component surface according to the theoretical trajectory, and after the adhesive is removed, chemical etching is carried out for a period of time to obtain an arc-shaped reinforcing rib structure.

[0062] Step 5: 3D sensor calibration;

[0063] The 3D sensor 3 is integrated with the dual-axis laser processing head 2, and the calibration block is fixed on the rotary table 5. The X / Y / Z axes are moved and the rotary table 5 is rotated a fixed distance. The 3D sensor 3 measures the calibration block at different positions to obtain specific information about the feature points of the calibration block, thereby achieving calibration. The specific formula is as follows: P c =R c *T offset *M cal *P sensor Among them, M cal It is the calibration matrix between 3D sensor 3 and the X / Y / Z / C axes of the machine tool, T offset It is the deviation between the machine tool coordinates and the X / Y / Z / C axis coordinates of the machine tool during calibration, R c It is the rotation matrix of rotary table 5, P sensor These are the coordinates of a point within the 3D sensor, P. c These are the coordinates of a point in the 5-axis coordinate system of the rotary table.

[0064] Step 6: Collect point cloud data of the annular thin-walled component 4 after one-time milling;

[0065] like Figure 2 As shown, the working surface of the 3D sensor 3 is positioned directly opposite the annular thin-walled component 4. The acquisition trajectory is preset according to the sensor area, part height, and diameter to ensure that the area acquired by the 3D sensor 3 covers every pattern on the surface of the component, thereby obtaining point cloud data of the surface of the annular thin-walled component 4. At this time, since the angle between the side of the arc-shaped structure and the surface is close to 90°, the 3D sensor 3 cannot obtain point cloud data of the side and root of the arc-shaped structure.

[0066] Step 7: Point cloud filtering and semantic feature recognition;

[0067] Noise points in the point cloud are filtered out using the radius filtering method. The point cloud information is then divided into eroded and uneroded regions through semantic feature recognition and clustering segmentation, thus completing the extraction of the eroded regions.

[0068] Step 8: Boundary contour recognition;

[0069] like Figure 3 As shown, the alpha shapes algorithm is used to determine whether each point is a contour boundary point, thereby completing the boundary recognition of the eroded and uneroded areas and obtaining the boundary contour of the eroded area.

[0070] Step 9: Boundary contour optimization;

[0071] like Figure 4As shown, some areas of the boundary contour after a single chemical milling operation are discontinuous. For example, the contour that should be a straight line after a single chemical milling operation may have features such as small arcs. These features can cause acceleration and deceleration during laser operation, resulting in inconsistent laser ablation width and leading to defects during chemical milling. Therefore, for straight lines or other contours with small curvature, it is necessary to generate an ideal, approximately smooth trajectory, and for large curvature rounded corner structures, remove sharp points to obtain a closed boundary contour.

[0072] Step 10: Calculate machining trajectory points and tool posture;

[0073] Point cloud information for the concave sidewall region cannot be collected or is incomplete, making it impossible to directly obtain the position information of the blade tip Z. The blade tip position and blade posture are directly calculated using the closed boundary contour obtained in step nine.

[0074] Calculation method: such as Figure 7 As shown, since the distance between the etching position Z of the tool tip and point A is fixed, the tangent normal vector of point A is obtained through point cloud data. sum vector To express; vector sum vector The cross product yields the vector representing the direction of motion of the knife tip. Normalized vector and normalized vectors Cross product yields sum vector Vectors with opposite directions laser beam and Angle θ is the vector Find the vector Normalized vector sum vector The vector representing the laser beam attitude is obtained by adding and inverting the components.

[0075]

[0076] Step 11: Apply adhesive to the annular thin-walled component.

[0077] The annular thin-walled component is coated with an anti-corrosion adhesive protective layer.

[0078] Step 12: Secondary shaping and chemical milling of the annular thin-walled component;

[0079] Re-fix and adjust the component positions according to steps one, two, and three, and perform secondary engraving according to the program generated in step ten; for example... Figure 6 As shown, after the engraving is completed, the adhesive is removed and chemical etching is performed to obtain an "I"-shaped reinforcing rib structure.

[0080] This embodiment integrates a 3D sensor in hardware. By measuring the surface features of the part after the first chemical milling, and through feature recognition, it obtains the boundary contours of the chemically milled and un-milled areas. After optimization, the trajectory of the laser secondary engraving and the tool posture are calculated based on the optimized closed boundary contour. This embodiment does not require modification to the existing laser system and has a wide range of applications.

[0081] The method of the present invention is described below using illustrative numerical examples, and includes the following steps:

[0082] 1) The annular thin-walled component 4 is supported by three support seats of the flexible clamping system. The height difference between the three support seats is ≤0.05mm, so that the annular thin-walled component 4 is placed behind the support seats and its bottom surface is parallel to the XY plane.

[0083] 2) Rotate the rotary table 5 so that the movement directions of the two adjusting motors on the flexible clamping system are parallel to the X and Y directions respectively, and take the coordinates of the rotary table 5 at this time as the zero position; then obtain the distance sensor values ​​of the annular thin-walled component 4 on the rotary table 5 at 0°, 90°, 180° and 270°, and use the numerical feedback to adjust the motor control system to automatically calculate the adjustment amount, so that the difference between the distance sensor values ​​of 0° and 180°, and 90° and 270° is less than 0.02mm. Then the component position adjustment is completed, and it can be considered that the center of the annular thin-walled component 4 coincides with the rotary table 5.

[0084] 3) Rotate the laser head A-axis and C-axis to zero. When the machine tool X-axis is at coordinate X0, move the Y-axis so that the laser focus passes through the center of the rotary table. Keep the X-axis at X0 and the A-axis and B-axis at zero. Move the Y-axis and Z-axis so that the laser focus falls on the top surface of the annular thin-walled component. Rotate the table so that the laser focus coincides with the circumferential mark of the annular thin-walled component. Record the rotary table coordinate C0 at this time.

[0085] 4) The X / Y / Z axes and the AC axis of the double-axis laser processing head work together to achieve five-axis linkage, complete one engraving of the component surface according to the theoretical trajectory, and after the adhesive is removed, chemical etching is carried out for a period of time to obtain an arc-shaped reinforcing rib structure.

[0086] 5) The 3D sensor is integrated with the AC axis of the dual-axis laser processing head, and the calibration block is fixed on the rotary table. The X / Y / Z axes are moved and the rotary table is rotated a fixed distance. The 3D sensor measures the calibration block at different positions to obtain specific information about the feature points of the calibration block, thus achieving calibration. The specific formula is as follows: P c =R c *T offset *M cal *P sensor Among them, M ca l is the calibration matrix between the 3D sensor 3 and the X / Y / Z / C axes of the machine tool, T offsetIt is the deviation between the machine tool coordinates and the X / Y / Z / C axis coordinates of the machine tool during calibration, R c It is the rotation matrix of rotary table 5, P sensor These are the coordinates of a point within the 3D sensor, P. c These are the coordinates of a point in the 5-axis coordinate system of the rotary table.

[0087] 6) Position the working surface of the 3D sensor facing the workpiece, and preset the acquisition trajectory according to the sensor size, part height and diameter to obtain point cloud data of the surface features of the entire component.

[0088] 7) Noise points in the point cloud are filtered out using the radius filtering method. The point cloud information is divided into eroded and uneroded regions by semantic feature recognition and clustering segmentation, and the eroded regions are extracted.

[0089] 8) Use the alpha shapes algorithm to determine whether a point is a contour boundary point, and complete the boundary contour recognition of the eroded / uneroded area.

[0090] 9) Optimize the identified boundary contours, perform approximately smoothing on small curvature trajectories, and remove cusps from large curvature trajectories to obtain closed boundary contours;

[0091] 10) Point cloud information for the concave sidewall region cannot be collected or is incomplete, making it impossible to directly obtain the tool tip position information. The tool tip position and tool posture are directly calculated using the optimized closed boundary contour obtained in step 9).

[0092] 11) Apply anti-corrosion adhesive layer to annular thin-walled components.

[0093] 12) Re-fix and adjust the position of the components according to steps 1), 2), and 3), and perform secondary engraving according to the program generated in step 10); after engraving is completed, remove the adhesive and perform chemical etching to obtain the "I"-shaped reinforcing rib structure.

[0094] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present invention should be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for processing I-shaped ribs in annular thin-walled components, characterized in that, Includes the following steps: Step 1: System initialization; Place the annular thin-walled component to be processed, which has been coated with protective adhesive, on the rotary worktable, so that the central axis of the annular thin-walled component to be processed coincides with the rotation axis of the rotary worktable, and align the circumferential references of the two. Step 2, First engraving; A dual-axis laser processing head is used to perform a single engraving along a preset engraving trajectory on the surface of the annular thin-walled component to be processed, forming a closed trajectory. Step 3: One-time milling; Remove the protective adhesive within the closed trajectory on the surface of the annular thin-walled component to be processed, then perform chemical milling on it once, and then remove all the protective adhesive to obtain the annular thin-walled component to be processed with an arc-shaped reinforcing rib structure on the surface. Step 4: Boundary information identification; The component after one-time chemical milling is placed on the rotary table again, so that the central axis of the annular thin-walled component to be processed coincides with the rotation axis of the rotary table. The point cloud data of each complete corrosion area on the surface of the annular thin-walled component to be processed after one-time chemical milling is collected using a 3D sensor, and the corrosion area on the surface of the annular thin-walled component to be processed is extracted. The boundary information of the corrosion area is identified to obtain the boundary contour of the one-time chemical milling structure. Step 5: Calculation; The identified boundary contours are optimized, with small curvature boundaries being approximately smoothed and large curvature boundaries having their cusps removed to obtain closed boundary contours. The tool tip position and tool posture are calculated based on the identified closed boundary contours. Simultaneously, a secondary engraving trajectory is generated based on the identified closed boundary contours. Step 6: Secondary pattern making and chemical milling; After spraying protective adhesive again onto the surface of the annular thin-walled component to be processed, it is placed on a rotary table so that the central axis of the annular thin-walled component to be processed coincides with the rotation axis of the rotary table and the two are aligned in the circumferential reference. A double-axis laser processing head is used to perform secondary engraving on the surface of the annular thin-walled component to be processed along the secondary engraving trajectory based on the calculated tool tip position and tool posture. Then, secondary milling is performed to form I-shaped ribs on the surface. Step 8: Testing; The I-shaped ribs of the annular thin-walled component to be processed after secondary engraving and chemical milling are inspected; if the I-shaped ribs do not meet the requirements, the annular thin-walled component to be processed is scrapped; if the I-shaped ribs meet the requirements, the processing is completed.

2. The processing method for the I-shaped rib of the annular thin-walled component according to claim 1, characterized in that, In step 4, extracting the corrosion area on the surface of the annular thin-walled component to be processed specifically involves: Noisy point clouds in the point cloud data are filtered out by radius filtering, and then the corrosion area on the surface of the annular thin-walled component to be processed is extracted by semantic feature recognition and cluster segmentation.

3. The processing method for the I-shaped rib of the annular thin-walled component according to claim 2, characterized in that, In step 4, boundary information is identified in the eroded area to obtain the boundary contour of the one-time milled structure, specifically as follows: The boundary information of the eroded area is identified by the alpha shapes algorithm to obtain the boundary contour of the single-milled structure.

4. A machining system for annular thin-walled component I-shaped ribs, used to implement the machining method for annular thin-walled component I-shaped ribs according to any one of claims 1-3, characterized in that, include: Machine tools used for setting up dual-axis lasers; A rotary table for supporting annular thin-walled components; A dual-axis laser processing head for primary and secondary engraving on the surface of annular thin-walled components; A chemical etching unit used for primary chemical milling and secondary patterning of annular thin-walled components; An optical system for acquiring point cloud data of the surface of a ring-shaped thin-walled component; A calculation unit for calculating and optimizing the profile information of the corrosion area after one-time milling of annular thin-walled components.

5. The machining system for the I-shaped rib of the annular thin-walled component according to claim 4, characterized in that: The optical system is a 3D sensor.

Images