In-situ rapid repairing method for part defects

Abstract

The invention belongs to the technical field of part defect detection and repair, discloses a part defect in-situ rapid repair method, and solves the problem that the existing detection and repair technology is disjointed, so that the repair process lacks accurate reference basis. Comprising the following steps: performing industrial CT scanning on a product to obtain internal and external geometric parameters and structural information of the product; constructing an actual three-dimensional model of the product, and comparing and analyzing the actual three-dimensional model with the designed ideal three-dimensional model; if a redundant structure exists through comparison of the two parts, the redundant part is removed through the mechanical material reduction technology, the treatment area is ground and polished, and the surface precision is recovered; and if the defects exist in comparison, the defect area is removed through the mechanical material reduction technology, then material supplementation is conducted through the laser material increase technology, and finally grinding and polishing are conducted. Through a closed-loop system and a standardized process, an integrated solution with precision, reliability and efficiency is provided for high-end manufacturing defect repair.

Description

Technical Field

[0001] This invention belongs to the field of component defect detection and repair technology, specifically involving a rapid in-situ repair method for component defects, which is particularly suitable for defect repair of products with extremely high requirements for dimensional accuracy and structural integrity, such as aerospace (e.g., engine blades, turbine disks) and precision machinery (e.g., gears, bearings). Background Technology

[0002] In the industrial manufacturing process, due to factors such as the characteristics of raw materials, processing technology, and equipment precision, products inevitably exhibit various defects, such as surface defects, internal cracks, holes, or dimensions that do not conform to the design model. These defects will seriously affect the performance, reliability, and service life of products, and may even cause safety hazards. Therefore, efficient and accurate defect detection and repair of industrial products is of paramount importance.

[0003] Currently, the main methods for detecting defects in industrial products include visual inspection, ultrasonic testing, and radiographic testing. Visual inspection can only identify obvious surface defects and cannot detect internal defects, resulting in significant limitations. Ultrasonic testing lacks accuracy for products with complex geometries and struggles to visually represent the three-dimensional shape and location of defects. While radiographic testing can detect internal defects, it carries radiation risks and has limited three-dimensional analysis capabilities, making it unsuitable for high-precision product testing. Regarding defect repair, traditional additive manufacturing technologies such as laser cladding, if lacking precise defect localization, can lead to a mismatch between the repair area and the defect, resulting in material waste or substandard structural performance after repair. Furthermore, the disconnect between existing detection and repair technologies means that once defects are detected, the repair process lacks precise reference data, further reducing repair efficiency and quality.

[0004] Therefore, there is an urgent need for a repair method that can achieve a closed loop of "accurate defect detection - accurate location - targeted repair - accuracy verification" to overcome the limitations of existing technologies. Summary of the Invention

[0005] One objective of this invention is to provide a method for rapid in-situ repair of defects in parts, effectively solving the problem of the disconnect between existing detection and repair technologies, which results in a lack of accurate reference for the repair process.

[0006] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is: a method for rapid in-situ repair of defects in parts, comprising the following steps: S1, performing high-precision industrial CT scanning on the product to obtain the geometric parameters and structural information of the product's internal and external surfaces.

[0007] S2. Based on the scanning data obtained in step S1, construct the actual three-dimensional model of the product and compare and analyze the actual three-dimensional model with the ideal three-dimensional model of the design. S3. Determine the product status based on the comparison results: If the actual 3D model and the ideal 3D model have no deviation, it is determined to be defect-free and the process ends; if the actual 3D model has "redundant structure" compared with the ideal 3D model, then proceed to step S4; if the actual 3D model has "defect" compared with the ideal 3D model, then proceed to step S5.

[0008] S4. When there are redundant structures on the surface of the actual 3D model, mechanical subtraction technology is used to remove the redundant parts, and the treated area is polished to restore the surface accuracy.

[0009] S5. When there are defects on the surface or inside the actual 3D model, first use mechanical subtraction technology to remove the defective areas of the product, then use laser additive technology to supplement the subtractive areas with materials, and finally grind and polish the additive areas to restore the structural dimensions.

[0010] S6. Perform an industrial CT scan on the repaired product again to construct the actual 3D model after repair. Compare the actual 3D model after repair with the ideal 3D model: if the deviation of all areas is ≤ ±0.01mm, there are no new defects, and the repaired area is well bonded to the substrate, then the repair is deemed qualified; if the deviation exceeds the tolerance or there are new defects, return to step S2 to re-optimize the repair plan.

[0011] Furthermore, step S1 specifically includes: S11, selecting a high-resolution industrial CT and adjusting the scanning parameters according to the product material.

[0012] S12. Fix the product to be repaired onto the CT stage, adjust the stage speed, and ensure that the scan covers all areas of the product.

[0013] S13. After the scan is completed, the original data is denoised and reconstructed using the CT software, and the data is exported to ensure that the data is free of tomography and artifacts.

[0014] Furthermore, in step S1, when using an industrial CT scanning product, the industrial CT scan covers the entire product, and the scanning parameters meet the following requirements: for metal products, tube voltage 120-225kV, tube current 100-300μA, exposure time 200-600ms, resolution 1-20μm, and scan layer thickness 0.05-0.1mm; for ceramic / composite material products, tube voltage 200-300kV, tube current 200-400μA, exposure time 250-450ms, resolution 0.5-8μm, and scan layer thickness 0.03-0.08mm.

[0015] Furthermore, in step S1, an industrial CT scanner is used to perform a full-area scan on the product with a spatial resolution of not less than 5μm. This scan acquires the geometric parameters and structural distribution information of the product's interior (cracks, holes, etc.) and exterior (protrusions, growths, etc.), ensuring that the acquired product information meets the accuracy requirements for defect detection and repair.

[0016] Furthermore, step S2 specifically includes: S21, importing the data into the processing software; setting the HU value range according to the product material to separate the product from the background; selecting the core area of ​​the product as the seed point to automatically grow the complete product outline and remove edge noise; converting the outline data into a triangular mesh with a mesh side length of 0.01-0.02mm to ensure that the actual 3D model surface is smooth.

[0017] S22. Import the ideal 3D model of the product design and adopt the dual calibration method of "key benchmark alignment + key feature point matching". Prioritize matching key features such as product positioning holes, benchmark planes, and step surfaces. After calibration, ensure that the initial alignment deviation between the actual 3D model and the ideal 3D model in the X, Y, and Z axes is ≤ ±0.001mm, and ensure the consistency of the comparison benchmark.

[0018] S23. Accurately extract the difference areas between the actual 3D model and the ideal 3D model through Boolean operations, and generate independent 3D labeled models of the difference areas; achieve comprehensive labeling of the difference areas, and the labeling content clearly includes the coordinates of the difference location, the size deviation value, and the morphological features (protrusion / depression / defect / redundancy), to ensure that the difference information is visualized and traceable.

[0019] S24. Generate visualization results and analysis reports of numerical model comparison.

[0020] Furthermore, in step S2, a 1:1 actual 3D model of the product is constructed using 3D software. The actual 3D model is registered and aligned with the ideal 3D model of the product in the same coordinate system. Boolean operations are used to calculate the difference area, identify the difference type as "redundant structure" or "defect", and mark the 3D coordinates, size and shape of the difference area.

[0021] "Redundant structure" is defined as a continuous protrusion in the actual 3D model that extends beyond the boundary of the ideal 3D model by a height ≥ 0.05 mm or a volume ≥ 0.01 mm. 3 discrete polymorphs.

[0022] "Defects" are defined as material regions missing from the actual 3D model with a depth ≥ 0.1 mm, internal cracks with a length ≥ 0.5 mm and a width ≥ 0.01 mm, holes with a diameter ≥ 0.05 mm, and volumes ≥ 0.005 mm. 3 The mixture.

[0023] The comparative analysis method is digital model comparison analysis. This analysis can accurately identify the differences between the actual product and the design ideal, and can simultaneously identify surface and internal differences.

[0024] Furthermore, step S4 includes: S41, planning the mechanical subtraction path based on the 3D annotation model of the difference region and selecting the subtraction machining tool; using a spiral path for circular protrusions and a contour offset path for irregular protrusions.

[0025] S42. Select a mechanical subtraction actuator, adjust the cutting parameters according to the material and size of the redundant structure, perform rough subtraction first, and then perform finish subtraction.

[0026] S43. After cutting, grind and polish the subtractive area to eliminate milling texture and restore the surface roughness to Ra≤1.6μm.

[0027] Furthermore, in step S4, grinding and polishing are divided into rough grinding, fine grinding, and polishing. First, rough grinding is performed using an 800-grit diamond grinding wheel to remove cutting marks, leaving a grinding allowance of 0.1 mm. Then, fine grinding is performed using a 1500-grit silicon carbide grinding wheel to achieve a surface roughness Ra ≤ 1.2 μm. Finally, polishing is performed by hand polishing with 2 μm diamond polishing paste to achieve a surface roughness Ra ≤ 0.8 μm.

[0028] Furthermore, step S5 specifically includes: S51, planning a path for the defect type and selecting a subtractive machining tool.

[0029] S52. Select a mechanical subtraction actuator, adjust the cutting parameters according to the subtraction structure and size, perform rough subtraction first and then finish subtraction.

[0030] S53. After the subtractive processing is completed, blow away the debris in the subtractive area with compressed air, and then rinse with anhydrous ethanol to ensure that there are no impurities in the defect groove.

[0031] S54. Prepare repair powder with a composition deviation of ≤5% from the substrate and plan the laser additive path.

[0032] S55. Adjust the parameters according to the size of the defect groove, start the laser additive manufacturing device to fill layer by layer, and ensure that each cladding layer is metallurgically bonded to the substrate.

[0033] S56. Grind and polish the repaired area to restore its original state.

[0034] Furthermore, in step S5: the requirements for crack defect removal are: the groove width is 0.2-0.3 mm larger than the crack width, and the groove depth is 0.1-0.2 mm larger than the crack depth, to ensure that the crack is completely removed.

[0035] Requirements for removing holes or inclusions: Plan a "cylindrical groove" path. The diameter of the cylindrical groove should be 0.3-0.5 mm larger than the diameter of the hole or inclusion. The depth of the cylindrical groove should penetrate the defect area.

[0036] The laser additive manufacturing equipment uses coaxial powder feeding and is equipped with an inert gas protection device (the protective gas is argon, with a flow rate of 10-20L / min) to prevent oxidation of the repaired area.

[0037] The laser additive manufacturing process employs a "layer-by-layer filling" approach, adding material to a depth 0.2-0.3mm beyond the ideal surface to allow for subsequent polishing and complete material replenishment.

[0038] Furthermore, in step S5, grinding and polishing are divided into rough grinding, fine grinding, and polishing. First, rough grinding is performed using a 600-grit diamond wheel to grind the additive area, removing surface oxide scale and most of the excess material (grinding to 0.05mm higher than the ideal 3D model). Then, fine grinding is performed using a 2000-grit silicon carbide wheel, employing "low pressure, slow speed" (pressure 0.3-0.5N, speed 5-10mm / s), ensuring the dimensional deviation from the ideal 3D model is ≤±0.02mm. Finally, polishing is performed using 1μm diamond polishing paste with a wool wheel (speed 1000-1500r / min), ultimately achieving: dimensional accuracy: deviation between the repaired area and the ideal 3D model ≤±0.01mm; surface quality: surface roughness Ra≤0.8μm, free from scratches, dents, and other secondary defects; geometric tolerances: flatness ≤0.005mm, cylindricity ≤0.005mm (for cylindrical structures).

[0039] Another objective of this invention is to provide a rapid in-situ repair system for component defects, used to implement the rapid in-situ repair method for component defects described in the above embodiments. The system includes: a 3D modeling and comparative analysis module, used to receive geometric parameters and structural information of the product's internal and external surfaces obtained from industrial CT scans, and to construct an actual 3D model based on the industrial CT scan data and compare it with an ideal 3D model to analyze the defect type and location; a mechanical subtractive material repair module, used to perform mechanical subtractive material processing on excess surface structures or defect areas; a laser additive material repair module, used to supplement material in the subtractive material areas; and a grinding and polishing module, used to perform precision grinding and polishing on the subtractive or additive material areas.

[0040] Compared with existing technologies, the beneficial technical effects of this invention are: This invention uses the precise detection capabilities of industrial CT and the high-precision repair capabilities of laser additive and subtractive materials, and through a closed-loop system and standardized processes, it provides an integrated solution for the repair of defects in high-end manufacturing that combines accuracy, reliability and efficiency, with significant technological advancement and engineering application value. Attached Figure Description

[0041] Figure 1This is a flowchart of the in-situ rapid repair method for part defects according to the present invention.

[0042] Figure 2 This is a schematic diagram of the industrial CT scan determination results in Example 1.

[0043] Figure 3 This is a schematic diagram of the subtractive processing area of ​​the 316L stainless steel block in Example 1.

[0044] Figure 4 This is a schematic diagram of the 316L stainless steel block after material reduction processing in Example 1.

[0045] Figure 5 This is a schematic diagram of the 316L stainless steel block after additive manufacturing in Example 1. Detailed Implementation

[0046] Example 1: This example provides a method for rapid in-situ repair of defects in parts. In this example, a 316L stainless steel block (with crack defects) is used as an example to detect and repair it, including the following steps.

[0047] (1) Before using industrial CT scanning, the 316L stainless steel block (hereinafter referred to as the steel block) needs to be pre-treated. The surface should be cleaned and decontaminated to remove all interferences (oil, dust, oxide scale, etc.) to avoid scanning artifacts that may interfere with internal identification. The steel block should be properly aligned to facilitate clamping and alignment, ensuring accurate registration with the ideal 3D model in subsequent modeling. Non-destructive treatment is required to prevent damage to the surface and internal structure of the steel block, avoid introducing new defects, and ensure the accuracy of subsequent detection.

[0048] (2) Fix the steel block on the special fixture of the additive-subtractive composite manufacturing equipment, ensuring that the center of the steel block is aligned with the rotation center of the turntable without any offset or shaking. Use an industrial CT scanner to perform a full-area scan on the steel block. For 316L stainless steel, set the following scanning parameters: tube voltage 200kV, tube current 250μA, scan layer thickness 0.07mm, spatial resolution 4μm, and stage rotation speed 8r / min. After scanning, use the software provided with the equipment to perform noise reduction and reconstruction of the raw data, remove data breaks and artifacts, and accurately extract the internal and external geometric parameters and three-dimensional distribution information of defects in the steel block.

[0049] (3) Import the CT scan data into the analysis software, set the HU value range corresponding to the steel block, and separate the product from the background; select the central area of ​​the steel block as the seed point, automatically grow to generate a complete product outline, remove edge noise, and convert the outline data into a triangular mesh (mesh side length 0.015mm) to construct a 1:1 actual three-dimensional model. Import the design ideal three-dimensional model of the steel block, and use the "key alignment and feature point matching" method to control the deviation between the two models in the X, Y, and Z axis directions within ±0.001mm. Generate a three-dimensional annotation model of the difference area through Boolean operation, clearly annotate the three-dimensional coordinates, size and shape of various defects, determine that there are cracks inside the steel block, and determine it as an "internal defect", such as Figure 2 As shown.

[0050] (4) such as Figure 3 As shown, the defect location is determined, and the subtractive processing path is planned. The subtractive processing area is evenly divided into n layers along the height direction. The lowest point should be 3mm lower than the defect area, the width of each layer should be 2mm wider than the defect, and the height of each layer should be 1mm. Subtractive processing is carried out layer by layer. In order to ensure the accuracy of subsequent additive processing, rough processing is required first to leave a 1mm allowance, and then fine processing is performed to remove the 1mm allowance.

[0051] (5) Determine the process parameters for mechanical subtraction based on the subtraction area of ​​the parts, such as tool speed, tool type, and the area of ​​defects to be removed from the parts, such as... Figure 4 As shown. Rough machining is performed first, followed by fine machining. After the subtractive machining is completed, the machining area is cleaned to remove any remaining waste and impurities to avoid affecting the quality of subsequent laser additive repair.

[0052] (6) Select stainless steel repair powder with a composition deviation ≤3% from that of 316L stainless steel substrate to achieve metallurgical bonding, without new defects such as incomplete fusion or porosity. Use a laser additive manufacturing device to fill the layer by layer, such as... Figure 5 As shown. Additive parameters were set as follows: laser power 1000W, scanning speed 280mm / min, powder feed rate 1.1g / min, layer thickness 0.8mm, step size 1.25mm, and fill rate 100%. The surface after additive manufacturing is 0.2mm higher than the ideal model, leaving sufficient allowance for polishing to ensure room for subsequent dimensional accuracy adjustments.

[0053] The laser additive manufacturing actuator uses coaxial powder feeding and is equipped with an inert gas protection device (the protective gas is argon, with a flow rate of 10-20 L / min) to prevent oxidation of the repair area.

[0054] (7) The three-stage process of "rough grinding-fine grinding-polishing" is adopted: First, rough grinding is carried out with a 600-mesh diamond grinding wheel to remove the oxide scale on the surface of the additive area and grind it to 0.05mm higher than the ideal three-dimensional model; then, fine grinding is carried out with a 2000-mesh silicon carbide grinding wheel, using the "small pressure (0.45N) and slow speed (9mm / s)" mode, so that the size deviation of the repair area is ≤±0.02mm; finally, polishing is carried out with 1μm diamond polishing paste and a wool wheel (speed 1300r / min), and finally the following is achieved: the size accuracy of the repair area is ≤±0.01mm from the ideal three-dimensional model, the surface roughness Ra≤0.8μm, and the flatness ≤0.005mm, which fully meets the original product design requirements.

[0055] (8) The repaired 316L stainless steel block was scanned again by industrial CT. The actual three-dimensional model after repair was constructed and compared with the ideal three-dimensional model. The deviation of all areas was ≤±0.01mm, and no new defects were generated. Metallurgical microscopy showed that the repaired area formed a good metallurgical bond with the substrate, and there were no secondary defects such as pores and inclusions.

[0056] In summary, the in-situ rapid repair method for part defects in this embodiment is as follows: Figure 1 As shown, firstly, an industrial CT scanner is used to scan the product to obtain its geometric parameters and structural information. Then, based on the CT scan data, an actual 3D model of the product is constructed, and the actual 3D model is compared and analyzed with the designed ideal 3D model. Subsequently, the product status is determined based on the comparison results: if the actual 3D model is consistent with the ideal 3D model, the product is determined to have no manufacturing defects, and the process ends; if the actual 3D model is inconsistent with the ideal 3D model, the type and location of product defects are determined. When there are redundant structures on the surface of the actual 3D model, mechanical subtraction technology is used to remove the redundant parts, and the treated area is polished. When there are defects on the surface or inside the actual 3D model, mechanical subtraction technology is first used to remove the defective areas, then laser additive manufacturing technology is used to supplement the subtractive areas, and finally the additive areas are polished.

[0057] Example 2: A rapid in-situ repair system for part defects, used to implement the rapid in-situ repair method for part defects described in Example 1, including: (1) a three-dimensional modeling and comparison analysis module, used to receive the geometric parameters and structural information of the product's interior and exterior obtained by industrial CT scanning, and to construct an actual three-dimensional model based on the industrial CT scan data and compare it with an ideal three-dimensional model to analyze the defect type and location; (2) a mechanical subtractive repair module, used to perform mechanical subtractive processing on the surface excess structure or defect area; (3) a laser additive repair module, used to supplement the subtractive area with material; (4) a grinding and polishing module, used to perform precision grinding on the subtractive or additive area.

[0058] Of course, the above description is not intended to limit the present invention, and the present invention is not limited to the examples given above. Any changes, modifications, additions or substitutions made by those skilled in the art within the scope of the present invention should also fall within the protection scope of the present invention.

Claims

1. A method for rapid in-situ repair of defects in parts, characterized in that, Includes the following steps: S1. Perform industrial CT scanning on the product to obtain the product's internal and external geometric parameters and structural information; S2. Based on the scanning data obtained in step S1, construct the actual three-dimensional model of the product and compare and analyze the actual three-dimensional model with the ideal three-dimensional model of the design. S3. Determine the product status based on the comparison results: If the actual 3D model and the ideal 3D model are identical, and no defects are found, the process ends. If the actual 3D model has redundant structures compared to the ideal 3D model, then proceed to step S4; If the actual 3D model has defects compared to the ideal 3D model, then proceed to step S5; S4. When there are redundant structures on the surface of the actual 3D model, mechanical subtraction technology is used to remove the redundant parts, and the treated area is polished to restore the surface accuracy. S5. When there are defects on the surface or inside the actual 3D model, first use mechanical subtraction technology to remove the defective areas of the product, then use laser additive technology to supplement the subtractive areas, and finally grind and polish the additive areas. S6. Perform an industrial CT scan on the repaired product again to construct the actual 3D model after repair. Compare the actual 3D model after repair with the ideal 3D model: if the deviation of all areas is ≤ ±0.01mm, there are no new defects, and the repaired area is bonded to the substrate, then the repair is deemed qualified; if the deviation exceeds the tolerance or there are new defects, return to step S2.

2. The method for rapid in-situ repair of part defects according to claim 1, characterized in that, In step S1, when using an industrial CT scanning product, the scanning parameters must meet the following requirements: For products made of metal, the tube voltage is 120-225kV, the tube current is 100-300μA, the exposure time is 200-600ms, the resolution is 1-20μm, and the scanning layer thickness is 0.05-0.1mm. For ceramic or composite material products, the tube voltage is 200-300kV, the tube current is 200-400μA, the exposure time is 250-450ms, the resolution is 0.5-8μm, and the scanning layer thickness is 0.03-0.08mm.

3. The method for rapid in-situ repair of part defects according to claim 1, characterized in that, In step S1, the product is scanned across its entire area with a spatial resolution of not less than 5μm to obtain the product's internal and external geometric parameters and structural distribution information, ensuring that the obtained product information meets the accuracy requirements for defect detection and repair.

4. The method for rapid in-situ repair of part defects according to claim 1, characterized in that, In step S2, a 1:1 actual 3D model of the product is constructed using 3D software. The actual 3D model is registered and aligned with the ideal 3D model of the product in the same coordinate system. Boolean operations are used to calculate the difference area, identify the difference type as "redundant structure" or "defect", and mark the 3D coordinates, size and shape of the difference area. "Redundant structure" is defined as a continuous protrusion in the actual 3D model that extends beyond the boundary of the ideal 3D model by a height ≥ 0.05 mm or a volume ≥ 0.01 mm. 3 discrete polymorphs; "Defects" are defined as material regions missing from the actual 3D model with a depth ≥ 0.1 mm, internal cracks with a length ≥ 0.5 mm and a width ≥ 0.01 mm, holes with a diameter ≥ 0.05 mm, and holes with a volume ≥ 0.005 mm. 3 The mixture.

5. The method for rapid in-situ repair of part defects according to claim 4, characterized in that, Step S4 includes: S41. Based on the difference region, plan the mechanical subtraction path and select the subtraction machining tool; use a spiral path for circular protrusions and a contour offset path for irregular protrusions. S42. Select a mechanical subtraction actuator, adjust the cutting parameters according to the material and size of the redundant structure, perform rough subtraction first, and then perform finish subtraction. S43. After cutting, grind and polish the subtractive area to eliminate milling texture and restore the surface roughness to Ra≤1.6μm.

6. The method for rapid in-situ repair of part defects according to claim 5, characterized in that, In step S4, grinding and polishing are divided into rough grinding, fine grinding and polishing. First, rough grinding is performed to remove cutting marks, with a grinding allowance of 0.1 mm. Then, fine grinding is performed to make the surface roughness Ra≤1.2μm. Finally, polishing is performed to make the surface roughness Ra≤0.8μm.

7. The method for rapid in-situ repair of part defects according to claim 4, characterized in that, Step S5 includes: S51. Plan the path based on the defect type and select the subtractive machining tool; S52. Select a mechanical subtraction actuator, adjust the cutting parameters according to the subtraction structure and size, perform rough subtraction first and then finish subtraction. S53. After the subtractive processing is completed, remove the debris in the subtractive area, and then rinse with anhydrous ethanol to ensure that there are no impurities in the defect groove. S54. Prepare repair powder with a composition deviation of ≤5% from the substrate and plan the laser additive path; S55. Adjust the parameters according to the size of the defect groove, start the laser additive manufacturing device to fill layer by layer, and ensure that each cladding layer is metallurgically bonded to the substrate. S56. Grind and polish the repaired area.

8. The method for rapid in-situ repair of part defects according to claim 7, characterized in that, In step S5: Crack removal requirements: The groove width should be 0.2-0.3 mm wider than the crack width, and the groove depth should be 0.1-0.2 mm deeper than the crack depth to ensure complete crack removal; Requirements for removing pores or inclusions: Plan a "cylindrical groove" path. The diameter of the cylindrical groove should be 0.3-0.5 mm larger than the diameter of the pore or inclusion. The depth of the cylindrical groove should penetrate the defect area.

9. A method for rapid in-situ repair of part defects according to claim 8, characterized in that, In step S5, grinding and polishing are divided into rough grinding, fine grinding and polishing; First, rough grinding is performed to grind the additive area, removing surface oxide scale and most of the excess material; then fine grinding is performed to ensure that the dimensional deviation from the ideal 3D model is ≤ ±0.02mm; finally, polishing is performed to ensure that the dimensional accuracy deviation between the repaired area and the ideal 3D model is ≤ ±0.01mm, the surface roughness Ra is ≤ 0.8μm, the flatness is ≤ 0.005mm, and the cylindricity of the cylindrical structure is ≤ 0.005mm.

10. A rapid in-situ repair system for component defects, characterized in that, The method for rapid in-situ repair of part defects according to any one of claims 1-9 includes: The 3D modeling and comparative analysis module is used to receive the geometric parameters and structural information of the product's internal and external parts obtained from industrial CT scans, and to construct an actual 3D model based on the industrial CT scan data and compare it with an ideal 3D model to analyze the type and location of defects. The mechanical subtractive repair module is used to perform mechanical subtractive repair on areas with excess surface structure or defects. The laser additive repair module is used to replenish materials in the subtractive manufacturing area; The grinding and polishing module is used to grind and polish subtractive or additive manufacturing areas.

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