Machining method and system for I-shaped rib of annular thin-wall component

Abstract

The invention discloses a machining method and system for an I-shaped rib of an annular thin-wall component, and solves the problems that the rib width of a lightweight structure is out of tolerance, rib shoulders are asymmetric and the consistency is low due to the fact that existing laser secondary engraving depends on an ideal model to output a machining track. The coordinate system of the 3D sensor can be converted to the coordinate system of the workpiece, so that the coordinate system is consistent with the real coordinate of the workpiece on the machine tool, the generation process of the engraving track is simplified, the machining method of the I-shaped rib of the annular thin-wall component is easy and convenient to operate, an existing laser machining device does not need to be transformed, and the application range is wide.

Description

Technical Field

[0001] The present invention relates to a laser profiling method, and in particular to a processing method and system for an I-shaped rib of an annular thin-walled member. Background Art

[0002] Large thin-walled parts of aeroengines, such as casings, as the "skeleton" of aeroengines, the manufacturing quality of the lightweight structure on their surfaces is related to the flight range and power performance of an aircraft. "Profiling + chemical etching (hereinafter referred to as chemical milling)" is currently the main means to achieve lightweight manufacturing of aeroengine casings. The profiling accuracy and quality directly affect the stiffness of components. In traditional methods, only one profiling and chemical milling are performed to form an arc-shaped structure with large chamfers. Under the requirement of ensuring the width dimension of the stiffeners, the depth of one profiling and chemical milling is limited, and further weight reduction cannot be achieved. Therefore, the requirement of secondary profiling and chemical milling is proposed: profiling and chemical milling are performed again on the rib side formed after the first chemical milling to form an "I"-shaped structure. In this way, under the requirement of ensuring the width of the stiffeners, the depth of chemical milling can be further increased, the weight of the casing parts can be further reduced, and the obtained "I"-shaped (or wine glass-shaped) structure has good specific stiffness. The entire casing can be reduced in weight by more than several kilograms, which is crucial for the development of new engines.

[0003] The diameter of the casing exceeds 1 m, and it belongs to thin-walled parts. There is a deformation of about 0.1 mm - 0.3 mm in the blank parts. After the first profiling and chemical milling, the parts deform due to chemical milling and lose more than 30% of their weight. The chemical milling accuracy is low and the consistency is poor. The structural shapes on both sides of the rib shoulders formed by the first chemical milling are inconsistent, and the accuracy error is about 0.5 mm. Therefore, the geometric features after the first chemical milling are unknown quantities, and there is a large gap from the theoretical model.

[0004] Currently, Wang Jian et al. from Beihang University in "Study on Model and Experimental of Laser Scribing Parameter of Maskant in Chemical Milling for Aerospace Applications" established an ideal three-dimensional model and output the processing trajectory based on the three-dimensional model using UG. However, on the one hand, there is an error of nearly millimeters between the model and the actual geometric shape, resulting in over-tolerance of the rib width, asymmetry of the rib shoulders, and low consistency of the lightweight structure, and a qualified "I"-shaped structure cannot be machined; on the other hand, the side edges of the arc-shaped structure obtained by the first chemical milling are close to 90° to the 3D sensor, and all the point cloud data cannot be obtained. The structural information on the surface of the annular thin-walled member is not fully obtained, and all the information of the actual three-dimensional model cannot be obtained using the 3D sensor. How to use the measured point cloud data for secondary profiling becomes a difficult point. Summary of the Invention

[0005] In order to solve the technical problems that the existing laser secondary profiling relies on the output of an ideal model for the machining trajectory, resulting in out-of-tolerance rib widths, asymmetrical rib shoulders, and low consistency in lightweight structures, the present invention provides a machining method and system for I-shaped ribs of annular thin-walled components.

[0006] To achieve the above object, the present invention adopts the following technical solutions:

[0007] A machining method for I-shaped ribs of annular thin-walled components is characterized in that it includes the following steps:

[0008] Step 1, system initialization;

[0009] Place the annular thin-walled component to be machined with a protective adhesive sprayed on its surface on the rotary worktable, align the central axis of the annular thin-walled component to be machined with the rotary axis of the rotary worktable, and align their circumferential references;

[0010] Step 2, primary profiling;

[0011] Use a double pendulum axis laser machining head to perform primary profiling on the surface of the annular thin-walled component to be machined along a preset profiling trajectory to form a closed trajectory;

[0012] Step 3, primary chemical milling;

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

[0014] Step 4, boundary information recognition;

[0015] Place the component after primary chemical milling on the rotary worktable again, align the central axis of the annular thin-walled component to be machined with the rotary axis of the rotary worktable, collect the point cloud data of each complete corrosion area on the surface of the annular thin-walled component to be machined after primary chemical milling, and extract the corrosion areas on the surface of the annular thin-walled component to be machined; perform boundary information recognition on the corrosion areas to obtain the boundary contour of the primary chemical milling structure;

[0016] Step 5, calculation;

[0017] Calculate the tool tip position and tool posture based on the recognized boundary contour; at the same time, generate a secondary profiling trajectory based on the recognized boundary contour;

[0018] Step 6, secondary profiling and chemical milling;

[0019] After spraying the protective glue on the surface of the annular thin-walled component to be processed again, place it on the rotary workbench, align the central axis of the annular thin-walled component to be processed with the rotating axis of the rotary workbench, and align their circumferential reference points; use a double pendulum axis laser processing head to perform secondary profiling on the surface of the annular thin-walled component to be processed along the calculated tool tip position and tool posture according to the secondary profiling trajectory, and then perform secondary chemical milling to form an I-shaped rib on its surface;

[0020] Step 8, Inspection;

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

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

[0023] Optimize the identified boundary contour, perform approximate smoothing on the small curvature boundary, and remove the sharp points on the large curvature boundary to obtain a closed boundary contour;

[0024] Step 5 is specifically to calculate the tool tip position and tool posture based on the identified closed boundary contour; at the same time, generate a secondary profiling trajectory based on the identified closed boundary contour.

[0025] Furthermore, in step 4, the specific method for collecting the point cloud data of each complete corrosion area on the surface of the annular thin-walled component to be processed after the first chemical milling is as follows:

[0026] Use a 3D sensor to collect the point cloud data of each complete corrosion area on the surface of the annular thin-walled component to be processed after the first chemical milling.

[0027] Furthermore, in step 4, the specific method for extracting the corrosion area on the surface of the annular thin-walled component to be processed is as follows:

[0028] Filter out the noise point clouds in the point cloud data through the radius filtering method, and then extract the corrosion area on the surface of the annular thin-walled component to be processed through semantic feature recognition and clustering segmentation.

[0029] Furthermore, in step 4, the specific method for identifying the boundary information of the corrosion area to obtain the boundary contour of the first chemical milling structure is as follows:

[0030] Identify the boundary information of the corrosion area through the alpha shapes algorithm to obtain the boundary contour of the first chemical milling structure.

[0031] A processing system for the I-shaped ribs of an annular thin-walled component, which is used to implement the above-mentioned processing method for the I-shaped ribs of an annular thin-walled component, is characterized in that it includes:

[0032] Machine tool for setting a double pendulum axis laser;

[0033] Rotary table for carrying annular thin-walled components;

[0034] Double pendulum axis laser processing head for performing primary profiling and secondary profiling on the surface of an annular thin-walled component;

[0035] Chemical etching unit for performing primary chemical milling and secondary profiling on an annular thin-walled component;

[0036] Optical system for collecting point cloud data on the surface of an annular thin-walled component;

[0037] Calculation unit for calculating and optimizing the contour information of the corrosion area after primary chemical milling of an annular thin-walled component.

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

[0039] Advantages of the present invention:

[0040] 1. A processing method and system for the I-shaped rib of an annular thin-walled component provided by the present invention integrates a 3D sensor and a double pendulum axis laser processing head, and can convert the coordinate system of the 3D sensor to the workpiece coordinate system, so as to obtain the same as the real coordinates of the workpiece on the machine tool, simplifying the generation process of the profiling trajectory, making the processing method of the I-shaped rib of the annular thin-walled component easy to operate, without the need to transform the existing laser processing device, and having a wide application range.

[0041] 2. A processing method and system for the I-shaped rib of an annular thin-walled component provided by the present invention, by obtaining the boundaries of the corroded and non-corroded areas, simplifying the small-curvature boundaries and optimizing the large-curvature boundaries, directly calculates the trajectory of the laser focus and the tool posture, having good applicability and a simple method, and can improve the followability of the profiling trajectory and the boundary.

[0042] 3. A processing method and system for the I-shaped rib of an annular thin-walled component provided by the present invention, compared with the existing method of outputting the processing trajectory using an ideal model, greatly improves the secondary profiling accuracy and consistency.

[0043] 4. A processing method and system for the I-shaped rib of an annular thin-walled component provided by the present invention is applicable to customized secondary profiling manufacturing of parts with large chemical milling errors and has a high degree of automation. Description of the drawings

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

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

[0046] Figure 3It is a schematic diagram of the result of boundary feature recognition in the embodiment of the present invention;

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

[0048] Figure 5 It is a schematic diagram of the primary profiling and the obtained arc-shaped structure in the embodiment of the present invention;

[0049] Figure 6 It is a schematic diagram of the secondary profiling and the obtained arc-shaped structure in the embodiment of the present invention;

[0050] Figure 7 It is a schematic diagram of calculating the position and posture of the tool tip in the embodiment of the present invention.

[0051] Reference numerals: 1 - optical system, 2 - double pendulum axis laser processing head, 3 - 3D sensor, 4 - annular thin-walled member, 5 - rotary table. Specific embodiments

[0052] Next, the technical solutions of the present invention will be clearly and completely described in conjunction with the drawings and embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0053] A processing method for the I-shaped rib of an annular thin-walled member provided in this embodiment is as Figure 1 shown. By integrating a 3D sensor 3 into the double pendulum axis laser processing head 2, the 3D sensor 3 and the laser system are physically connected and fixed; the machine tool (X / Y / Z / C axes) moves a specific distance to photograph the point cloud of a specially made three-sided calibration block, and calibrates the coordinates of its spatial point cloud; when the double pendulum axis laser processing head 2 is in the zero position, a small pit is bombarded on the glued flat plate with the laser focus (at this time, the coordinates of the center of the bottom of the glue layer pit in the machine tool coordinate system are known), and the 3D sensor 3 photographs the pit, and the point cloud coordinates of its bottom center point are related to the machine tool coordinate system; after the primary profiling and chemical milling of the annular thin-walled member 4, numerous corrosion features are formed on the surface. After removing the surface glue layer and performing secondary alignment, the 3D sensor 3 moves along 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 member 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 processing code is output to complete the secondary profiling of the annular thin-walled member 4. This method is applicable to the customized secondary profiling manufacturing of parts with large chemical milling errors, and has high automation and high precision. The specific steps are as follows:

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

[0055] Place the annular thin-walled component 4 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 coaxiality of the annular thin-walled component 4 and the rotary table 5;

[0057] The flexible clamping system is installed on the rotary table 5, which includes two adjustment motors and a distance measuring sensor. The movement directions of the two adjustment motors are perpendicular to each other, and the distance measuring sensor is independently installed at the double pendulum axis laser processing head 2. Rotate the rotary table 5 to make the movement directions of the two adjustment motors parallel to the X and Y directions respectively, and set the coordinate of the rotary table 5 at this time as the zero position; Keep the distance measuring sensor stationary, rotate the rotary table 5 to 0°, 90°, 180°, 270°, and stop for 5 seconds at these four positions. Measure the values of the distance measuring sensor when the rotary table 5 rotates to 0°, 90°, 180°, 270° for the annular thin-walled component 4. The values are fed back to the control system of the flexible clamping system, and the control system automatically calculates the adjustment amount and direction to make the difference between 0° and 180°, 90° and 270° less than the error requirement amount. Then the position adjustment of the annular thin-walled component 4 on the rotary table 5 is completed, and it can be considered that the center of the annular thin-walled component 4 coincides with the rotary table 5.

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

[0059] Rotate the A axis and C1 axis of the double pendulum 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 through the center of the rotary table 5; Keep the X axis at X0, the A axis and C1 axis at the zero position, and move the Y axis and Z axis to make the laser focus coincide with the circumferential target point of the annular thin-walled component 4, and record the coordinate C0 of the rotary table 5 at this time.

[0060] Step 4. Perform primary profiling and chemical milling on the annular thin-walled component 4;

[0061] As Figure 5 shown, the X / Y / Z axes drive the A axis and C axis of the double pendulum axis laser processing head 2 to achieve five-axis linkage, complete the primary profiling of the component surface according to the theoretical trajectory, and perform chemical etching for a period of time after debonding treatment to obtain an arc-shaped stiffening rib structure.

[0062] Step 5. Calibrate the 3D sensor;

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

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

[0065] As Figure 2 shown, the working surface of the 3D sensor 3 is directed at the annular thin-walled component 4. According to the sensor field of view, part height and diameter, the acquisition trajectory is preset to ensure that the field of view collected by the 3D sensor 3 covers each pattern on the component surface, thereby obtaining the point cloud data of the surface of the annular thin-walled component 4; at this time, since the angle between the side and the surface of the arc-shaped structure is close to 90°, the 3D sensor 3 cannot obtain the point cloud data of the side and the root of the arc-shaped structure.

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

[0067] The noisy point cloud is filtered by the radius filtering method, and the point cloud information is divided into the corroded area and the non-corroded area through semantic feature recognition and clustering segmentation to complete the extraction of the corroded area.

[0068] Step 8: Boundary contour recognition;

[0069] As Figure 3 shown, the alpha shapes algorithm is used to judge whether each point is a contour boundary point, complete the boundary recognition between the corroded area and the non-corroded area, and obtain the boundary contour of the corroded area.

[0070] Step 9: Boundary contour optimization;

[0071] As Figure 4As shown, some regions of the boundary contour after one-time chemical milling are discontinuous. For example, for a contour that should be a straight-line feature after one-time chemical milling, there are features such as small arcs. Such features will cause acceleration and deceleration during the laser operation, resulting in inconsistent laser ablation widths and defects during chemical milling. Therefore, for straight lines or other contours with small curvatures, an ideal approximate smooth trajectory needs to be generated, and the sharp points of the large-curvature rounded corner structure are removed to obtain a closed boundary contour.

[0072] Step Ten: Calculate the machining trajectory points and tool postures;

[0073] The point cloud information of the sunken sidewall area cannot be collected or is incompletely collected, and the position information of the tool tip point Z cannot be directly obtained. Through the closed boundary contour obtained in Step Nine, the position and tool posture of the tool tip point are directly calculated.

[0074] Calculation method: As Figure 7 shown, since the distance between the position Z etched by the tool tip point and point A is fixed, therefore, the tangent normal vector of point A is obtained through the point cloud data and vector to express; the cross product of vector and vector can obtain the vector in the moving direction of the tool tip point. The normalized vector and the normalized vector are cross-multiplied to obtain the sum vector and the vector in the opposite direction. The included angle between the laser beam and is θ, and the vector is used to obtain the vector The normalized vector and the vector are added and then negated to obtain the vector

[0075]

[0076] Step Eleven: Glue the annular thin-walled component.

[0077] Spray an anti-corrosion glue protective layer on the annular thin-walled component.

[0078] Step Twelve: Second engraving and chemical milling of the annular thin-walled component;

[0079] Fix and adjust the position of the component again according to Step One, Step Two, and Step Three, and perform second engraving according to the program generated in Step Ten; as Figure 6 shown, after engraving is completed, after the glue removal treatment, chemical corrosion is carried out to obtain an "I"-shaped stiffening rib structure.

[0080] In this embodiment, a 3D sensor is integrated on the hardware. By measuring the surface features of the part after single-pass chemical milling, through feature recognition, the boundary contour of the chemically milled and non-chemically milled areas is obtained. After optimization, the optimized closed boundary contour is used as a reference to calculate the trajectory and tool posture of the second laser profiling. This embodiment does not require modifying the existing laser system and has a wide range of applications.

[0081] The method of the present invention is described below by way of illustrative numerical examples, including the following steps:

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

[0083] 2) Rotate the rotary table 5 so that the movement directions of the two adjustment 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 ranging sensor values of the annular thin-walled member 4 on the rotary table 5 at 0°, 90°, 180°, and 270°. The numerical values are fed back to the adjustment motor control system to automatically calculate the adjustment amount so that the difference between the ranging sensor values at 0° and 180°, and 90° and 270° is less than 0.02 mm. Then the position adjustment of the member is completed, and it can be considered that the center of the annular thin-walled member 4 coincides with the rotary table 5.

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

[0085] 4) The X / Y / Z axes and the AC axes of the double pendulum laser processing head cooperate to achieve five-axis linkage, and the first profiling of the surface of the member is completed according to the theoretical trajectory. After debonding treatment, chemical etching is carried out for a period of time to obtain an arc-shaped stiffening rib structure.

[0086] 5) The 3D sensor is integrated with the AC axes of the double pendulum laser processing head, and the calibration block is fixed on the rotary table; move the X / Y / Z axes and rotate the rotary table by a fixed distance respectively, measure the calibration block at different positions through the 3D sensor, and obtain the specific information of the characteristic points of the calibration block, so as to achieve 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 of the 3D sensor 3 with the X / Y / Z / C axes of the machine tool, T offsetis the deviation between the machine tool coordinates and the coordinates of the machine tool X / Y / Z / C axes at the time of calibration, R c is the rotation matrix of the rotary table 5, P sensor is the in-point coordinates in the 3D sensor 3, P c is the point coordinates in the coordinate system of the rotary table 5.

[0087] 6) Align the working surface of the 3D sensor with the workpiece, and preset the acquisition trajectory according to the sensor field of view, part height, and diameter, so as to obtain the point cloud data of the surface features of the entire component.

[0088] 7) Filter out the noisy point cloud by the radius filtering method. The point cloud information is divided into the corroded area and the non-corroded area through semantic feature recognition and clustering segmentation, and the extraction of the corroded area is completed.

[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 corroded area / non-corroded area.

[0090] 9) Optimize the recognized boundary contour, perform approximate smoothing processing on the small-curvature trajectory, and remove the sharp points on the large-curvature trajectory to obtain a closed boundary contour;

[0091] 10) The point cloud information of the concave side wall area cannot be collected or is incompletely collected, and the tool tip position information cannot be directly obtained. Through the optimized closed boundary contour obtained in step 9), the tool tip position and tool posture are directly calculated.

[0092] 11) Spray an anti-corrosion glue layer on the annular thin-walled component.

[0093] 12) Re-fix and adjust the position of the component according to steps 1), 2), and 3), and perform secondary profiling according to the program generated in step 10); after profiling, through the glue removal treatment, perform chemical corrosion to obtain the "I"-shaped stiffener structure.

[0094] As described above, it is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claimed rights.

Claims

1. A processing method for the I-shaped rib of an annular thin-walled component, characterized in that It includes the following steps: Step 1, system initialization; Place the ring-shaped thin-walled component to be processed with protective glue sprayed on its surface on the rotary worktable, align the central axis of the ring-shaped thin-walled component to be processed with the rotary axis of the rotary worktable, and align their circumferential references; Step 2, primary profiling; Use a double pendulum axis laser processing head to perform primary profiling on the surface of the ring-shaped thin-walled component to be processed along a preset profiling trajectory to form a closed trajectory; Step 3, primary chemical milling; Remove the protective glue within the closed trajectory on the surface of the ring-shaped thin-walled component to be processed, then perform primary chemical milling on it, and then remove all the protective glue to obtain a ring-shaped thin-walled component to be processed with an arc-shaped stiffener structure on its surface; Step 4, boundary information recognition; Place the component after primary chemical milling on the rotary worktable again, align the central axis of the ring-shaped thin-walled component to be processed with the rotary axis of the rotary worktable, collect the point cloud data of each complete corrosion area on the surface of the ring-shaped thin-walled component to be processed after primary chemical milling, and extract the corrosion area on the surface of the ring-shaped thin-walled component to be processed; perform boundary information recognition on the corrosion area to obtain the boundary contour of the primary chemical milling structure; Step 5, calculation; Calculate the tool tip position and tool posture based on the recognized boundary contour; at the same time, generate a secondary profiling trajectory based on the recognized boundary contour; Step 6, secondary profiling and chemical milling; Spray protective glue on the surface of the ring-shaped thin-walled component to be processed again and place it on the rotary worktable, align the central axis of the ring-shaped thin-walled component to be processed with the rotary axis of the rotary worktable, and align their circumferential references; use a double pendulum axis laser processing head to perform secondary profiling on the surface of the ring-shaped thin-walled component to be processed along the calculated tool tip position and tool posture along the secondary profiling trajectory, and then perform secondary chemical milling to form an I-shaped rib on its surface; Step 8, inspection; Inspect the I-shaped ribs of the ring-shaped thin-walled component to be processed after secondary profiling and chemical milling; if the I-shaped ribs do not meet the requirements, the ring-shaped thin-walled component to be processed is scrapped; if the I-shaped ribs meet the requirements, the processing is completed.

2. The processing method of the I-shaped rib of the annular thin-walled member according to claim 1, wherein Before step 5 and after step 4, there is also a step of optimizing the boundary contour: Optimize the recognized boundary contour, perform approximate smoothing processing on the small curvature boundary, and remove the sharp points on the large curvature boundary to obtain a closed boundary contour; Step 5 is specifically to calculate the tool tip position and tool posture based on the recognized closed boundary contour; at the same time, generate a secondary profiling trajectory based on the recognized closed boundary contour.

3. The processing method of the I-shaped rib of the annular thin-walled member according to claim 1 or 2, characterized in that, In step 4, the specific method of collecting the point cloud data of each complete corrosion area on the surface of the ring-shaped thin-walled component to be processed after primary chemical milling is: Use a 3D sensor to collect the point cloud data of each complete corrosion area on the surface of the ring-shaped thin-walled component to be processed after primary chemical milling.

4. The processing method of the I-shaped rib of the annular thin-walled member according to claim 3, characterized in that, In step 4, the specific method of extracting the corrosion area on the surface of the ring-shaped thin-walled component to be processed is: Filter out the noisy point clouds in the point cloud data through the radius filtering method, and then extract the corrosion area on the surface of the ring-shaped thin-walled component to be processed through semantic feature recognition and clustering segmentation.

5. The processing method of the I-shaped rib of the annular thin-walled member according to claim 4, characterized in that, In step 4, the specific method of performing boundary information recognition on the corrosion area to obtain the boundary contour of the primary chemical milling structure is: Perform boundary information recognition on the corrosion area through the alpha shapes algorithm to obtain the boundary contour of the primary chemical milling structure.

6. A processing system for the I-shaped rib of a ring-shaped thin-walled member, which is used to implement the processing method of the I-shaped rib of the ring-shaped thin-walled member according to any one of claims 1-5, is characterized in that, Including: A machine tool for setting a double pendulum axis laser; A rotary table for carrying a ring-shaped thin-walled member; A double pendulum axis laser processing head for performing primary profiling and secondary profiling on the surface of the ring-shaped thin-walled member; A chemical etching unit for performing primary chemical milling and secondary profiling on the ring-shaped thin-walled member; An optical system for collecting point cloud data on the surface of the ring-shaped thin-walled member; A calculation unit for calculating and optimizing the contour information of the corrosion area after primary chemical milling of the ring-shaped thin-walled member.

7. The processing system for the I-shaped rib of the annular thin-walled member according to claim 6, characterized in that: The optical system is a 3D sensor.

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