Device and method for detecting abrasion loss of valve seat ring of cylinder cover

Abstract

The invention discloses a device for detecting the abrasion loss of a valve seat ring of a cylinder cover. The device comprises a workbench, a multi-axis mechanical arm, an electronic endoscope module, an anti-shaking mechanism, a circumferential light supplementing system, an abrasion analysis unit and a feedback unit, the workbench is provided with a multi-stage positioning module for positioning the valve seat ring and a driving mechanism for driving the workbench to rotate; a mounting flange is arranged at the tail end of the multi-axis mechanical arm; the electronic endoscope module is fixed on the mounting flange; the anti-shaking mechanism is integrated at the joint of the mounting flange and the electronic endoscope module; the circumferential light supplementing system is integrated at the front end of a probe of the electronic endoscope module; the wear analysis unit is in data connection with the electronic endoscope module; and the feedback unit is electrically connected with the wear analysis unit. According to the invention, all-attitude non-blind area detection of the deep-hole seat ring is realized aiming at the problems of positioning precision defect, dynamic imaging defect, analysis dimension defect and verification closed loop deficiency in the background technology.

Description

Technical Field

[0001] The present invention relates to the technical field of engine testing, and in particular to a cylinder head valve seat wear detection device and a detection method. Background Art

[0002] In the field of engine cylinder head manufacturing and maintenance, the wear detection of valve seat seals is a key step in ensuring engine airtightness. Existing detection technologies have three main systemic defects:

[0003] 1. Traditional testing equipment relies on manual cylinder head placement, making it difficult to ensure precise alignment between the valve seat axis and the testing equipment. Especially for cylinder head structures with complex cooling channels, slight deviations in the workpiece posture can prevent the test probe from fully covering the entire circumference of the sealing zone, creating a blind spot.

[0004] 2. Both existing mainstream technologies have imaging limitations: First, contact measurement (such as plug gauges). When the mechanical probe moves in a deep hole, it is easy to collide with the inner wall of the seat ring, which not only scratches the precision sealing surface, but also distorts the wear morphology due to uneven contact pressure. Second, fixed visual inspection: Industrial cameras are limited by rigid installation methods and cannot adaptively adjust the shooting angle. The bottom area of ​​the seat ring is shadowed by light refraction, resulting in severe edge imaging distortion.

[0005] 3. Conventional detection methods can only obtain single-dimensional information: contact measurement only reports the overall wear amount and cannot locate the position of local pits; two-dimensional visual inspection makes it difficult to quantify the wear depth gradient, leading to misjudgment of the risk of seal failure.

[0006] 4. The current industry generally separates wear detection from valve seal performance verification: the test results need to rely on subsequent bench tests for indirect verification, and the fault location cycle is long and costly. Summary of the Invention

[0007] The purpose of the present invention is to provide a cylinder head valve seat wear detection device and method. The invention addresses the positioning accuracy defects, dynamic imaging defects, analysis dimension defects and verification closed loop missing problems existing in the background technology, and realizes full-posture and blind-spot-free detection of deep-hole seat rings.

[0008] The above technical objectives of the present invention are achieved through the following technical solutions:

[0009] A cylinder head valve seat wear detection device, characterized by comprising:

[0010] A workbench is provided with a multi-stage positioning module for positioning the valve seat ring and a driving mechanism for driving the workbench to rotate;

[0011] Six-axis robotic arm with a mounting flange at the end;

[0012] an electronic endoscope module, fixed on the mounting flange;

[0013] An anti-shake mechanism, which is integrated into the connection between the mounting flange and the electronic endoscope module;

[0014] Circumferential fill light system, integrated into the front end of the probe of the electronic endoscope module;

[0015] Wear analysis unit, connected to the electronic endoscope module data;

[0016] The feedback unit is electrically connected to the wear analysis unit.

[0017] By employing these technical solutions, the device utilizes an anti-shake mechanism to ensure stable imaging, a circumferential fill-light system to address deep-hole imaging challenges, a multi-axis robotic arm and rotary table to enable automated spiral scanning, a wear analysis unit to perform high-precision image processing and quantitative evaluation, and a feedback unit to provide instant out-of-tolerance alerts. The entire system works together to achieve fully automated, high-precision, efficient, non-destructive, and comprehensive inspection of cylinder head valve seat seal wear, overcoming the inherent shortcomings of traditional methods and significantly improving the quality inspection and reliability of engine cylinder head manufacturing.

[0018] It is further configured as follows: the electronic endoscope module includes a slender tubular mirror body, a fisheye lens is provided at the front end of the mirror body, and the fisheye lens has an ultra-wide viewing angle curved optical structure.

[0019] By adopting the above technical solution, the optical limits of deep hole detection are broken through, and high-definition imaging of the valve seat sealing band without blind spots is achieved.

[0020] It is further configured as follows: the multi-stage positioning module includes a valve guide structure and a cylinder head clamping device, the guide structure is a conical guide sleeve, the inner conical surface of which is gap-matched with the outer wall of the valve guide, and the clamping device includes at least three groups of radially distributed pneumatic clamps, and the head of the pneumatic clamp is provided with an elastic friction pad.

[0021] By adopting the above technical solutions, millisecond-level precise positioning and zero-damage clamping of the cylinder head can be achieved, providing a benchmark guarantee for micron-level wear detection.

[0022] It is further configured as follows: the anti-shake mechanism includes multi-stage vibration reduction, including an axial elastic element and a radial damping element, the axial elastic element is a disc spring group evenly distributed around the circumference, the axis of the disc spring is parallel to the axial direction of the electronic endoscope module, and the radial damping element is a cross roller guide rail, the slider of the guide rail is rigidly connected to the outer shell of the electronic endoscope module.

[0023] By adopting the above technical solution, vibration isolation with micron-level scanning accuracy can be achieved, eliminating image blur caused by mechanical movement and workshop environment vibration.

[0024] It is further configured that: the wear analysis unit includes:

[0025] Image stitching module, used to generate a panoramic image of the sealing belt;

[0026] Multi-scale analysis module, which performs macro-contour comparison and micro-texture recognition simultaneously;

[0027] The heat map generation module outputs three-dimensional wear distribution.

[0028] By adopting the above technical solutions, a multi-dimensional wear intelligent diagnosis engine is built to achieve a fully automatic and high-precision analysis closed loop from image acquisition to decision output.

[0029] It is further configured as follows: the feedback unit includes an indicator light module and an acoustic component, the indicator light module is composed of a three-color LED array, the indicator light module is encapsulated in a transparent protective cover and fixed on the top of the wear analysis unit.

[0030] By adopting the above technical solutions, a multimodal human-computer interaction system is constructed to achieve cross-workstation visual warning and data traceability of detection results.

[0031] It is further configured to include a thermal management system, which includes a heat dissipation structure and an air flow channel arranged inside the electronic endoscope module.

[0032] By adopting the above technical solution, the risk of overheating and failure of the electronic endoscope when working continuously in a closed deep hole is solved, and the stability of high-precision detection and the life of the equipment are guaranteed.

[0033] A method for detecting the wear of a cylinder head valve seat includes the following steps:

[0034] Step 1: The multi-stage positioning module fixes the cylinder head and makes the valve seat ring axis vertical;

[0035] Step 2: The multi-axis robotic arm positions the probe of the electronic endoscope module above the valve seat ring;

[0036] Step 3: The driving mechanism rotates the workbench and synchronously controls the multi-axis robotic arm to perform spiral feed scanning;

[0037] Step 4: The image stitching module in the wear analysis unit generates a panoramic image of the sealing belt and identifies abnormal areas based on the multi-scale analysis module;

[0038] Step 5: The thermal map generation module outputs a three-dimensional wear thermal map.

[0039] By adopting the above technical solutions, a fully closed-loop automated detection chain is constructed to achieve integrated and precise diagnosis of cylinder head seat wear through "positioning-scanning-analysis-visualization".

[0040] It is further configured as follows: the step five includes:

[0041] Simultaneously detect contour deformation and surface micro-defects through multi-scale fusion analysis;

[0042] Classify wear patterns based on machine learning models.

[0043] By adopting the above technical solutions, the coordinated diagnosis of macro-contours and micro-defects can be achieved, breaking through the single-dimensional limitations of traditional detection methods.

[0044] It is further configured as follows: a virtual verification step is performed after step five, the wear data is imported into the virtual assembly system, and the valve seating and sealing state is simulated.

[0045] By adopting the above technical solution, closed-loop verification of physical wear data and virtual assembly system can be achieved, and valve seating and sealing performance can be quantitatively predicted, replacing traditional destructive bench testing. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 This is a schematic structural diagram of a cylinder head valve seat wear detection device according to this embodiment;

[0047] Figure 2 This is a schematic structural diagram of an anti-shake mechanism of a cylinder head valve seat wear detection device according to this embodiment;

[0048] Figure 3 for Figure 1 Enlarged view at point A in the middle;

[0049] Figure 4 This is an enlarged view of the multi-stage positioning module of this embodiment;

[0050] Figure 5 This embodiment is a workflow diagram of the feedback unit;

[0051] In the figure: 1. Workbench; 11. Multi-stage positioning module; 12. Driving mechanism; 13. Base; 2. Six-axis robotic arm; 21. Mounting flange; 3. Electronic endoscope module; 4. Anti-shake mechanism; 5. Circumferential fill light system; 6. Wear analysis unit; 7. Feedback unit; 31. Mirror body; 32. Fisheye lens; 14. Clamping device; 15. Guide structure; 141. Pneumatic gripper; 142. Elastic friction pad; 41. Axial elastic element; 42. Radial damping element; 411. Disc spring; 421. Guide rail; 422. Slider; 71. Indicator module; 72. Acoustic component; 81. Heat dissipation structure; 82. Air flow channel; DETAILED DESCRIPTION

[0052] The present invention will be further described in detail below with reference to the accompanying drawings.

[0053] refer to Figure 1 A cylinder head valve seat wear detection device includes a workbench 1, a six-axis robotic arm 2, an electronic endoscope module 3, an anti-shake mechanism 4, a circumferential fill-light system 5, a wear analysis unit 6, and a feedback unit 7. The workbench 1 is equipped with a multi-stage positioning module 11 for positioning the valve seat, a drive mechanism 12 for rotating the workbench, and a base 13 for securing the drive mechanism 12. The base 13 is made of cast iron. The multi-stage positioning module 11 is integrated into the center of the workbench and includes a valve guide structure 15 and a cylinder head clamping device 14. The valve guide structure 15 is a tapered guide sleeve (with a taper angle of 15° and made of hardened GCr15). Its inner tapered surface maintains a 0.05mm clearance with the outer wall of the cylinder head valve guide. The cylinder head clamping device 14 consists of three sets of pneumatic clamping jaws 141 (model SMC MHZ2-16D) evenly spaced 120° apart in the radial direction. The jaw heads are embedded with polyurethane elastic friction pads 142 (Shore hardness 70A). The driving mechanism 12 uses a servo motor (Panasonic MINAS A6 series) to drive the workbench to rotate through a harmonic reducer with a positioning accuracy of ±0.01°.

[0054] The base of the six-axis robotic arm 2 (FANUC LR Mate 200iD model) is bolted to the mounting surface of the base 13. Its end mounting flange 21 (ISO 9409-1-50-4-M6 standard) is positioned via a slot in the electronic endoscope module 3. The front end of the slender tubular body 31 of the electronic endoscope module 3 (outer diameter φ6mm, length 300mm, made of stainless steel) is embedded with a fisheye lens 32 (field of view 185°, depth of field 3-50mm). The rear end of the body 31 is connected to the wear analysis unit 6 via an aviation connector.

[0055] The anti-shake mechanism 4 includes an axial elastic element 41 and a radial damping element 42. The anti-shake mechanism 4 is integrated at the connection between the mounting flange 21 and the mirror body 31: the axial elastic element 41 is 4 groups of circumferentially evenly distributed disc springs 411 (model DIN2093 B series, stiffness 50N / mm), and the axis of the disc spring 411 is parallel to the axial direction of the mirror body 31; the radial damping element 42 adopts a cross roller guide 421 (brand THK SRG15), whose slider 422 is rigidly connected to the outer shell of the mirror body 31 through a transition plate, and the base of the guide rail 421 is fixed on the mounting flange 21.

[0056] Anti-shake mechanism data verification

[0057] Test conditions: simulated workshop level 6 vibration environment (amplitude 0.1mm@50Hz)

[0058] Results: The 411 axial disc springs attenuated 92% of high-frequency vibration (>100Hz); the cross roller guide suppressed 85% of low-frequency vibration (<10Hz). It was found that without vibration reduction, the image blur rate was 82%, while with the vibration reduction of the present invention, the blur rate was 3%.

[0059] The circumferential fill light system 5 is integrated into the front end of the mirror body 31: 8 LED lamp beads (color temperature 6000K) are arranged in a ring, and 360° uniform lighting (illuminance ≥ 1000 lux) is achieved through the light guide column.

[0060] The thermal management system 8 includes a heat dissipation structure 81 and an air flow channel 82. The heat dissipation structure 81 is a copper heat dissipation fin inside the mirror body 31. The mirror body 31 is provided with a placement cavity for the heat dissipation fin. The placement cavity is connected to the outside and is provided with an air flow channel 82. The air flow channel 82 is opened along the length direction of the mirror body 31.

[0061] Thermal Management System 8 Performance

[0062] Note: Ambient temperature is 25℃, cooling air flow rate is 2m 3 / min

[0063]

[0064] The wear analysis unit 6 uses the industrial computer model Advantech ARK-3500, which includes:

[0065] ① Image stitching module: Based on the SIFT feature point matching algorithm, 2000 frames of spiral scanned images (resolution 1280×1024) are synthesized into a panoramic image of the sealing belt;

[0066] ② Multi-scale analysis module: macro-level comparison of standard CAD contours (tolerance ±5μm), micro-level use of VGG16 convolutional network to identify surface peeling / scratches (accuracy 0.1mm 2 );

[0067] ③Thermal map generation module: The two-dimensional image is converted into a three-dimensional point cloud through a stereo vision algorithm to generate a thermal map that represents the wear depth with a color gradient (red indicates wear >50μm).

[0068] The indicator light module 71 of the feedback unit 7 is a 16×16 tri-color LED array (green (pass), yellow (warning), and red (out of tolerance)). It is enclosed in a transparent polycarbonate protective cover 711 and bolted to the top of the wear analysis unit 6 chassis. The acoustic component 72 uses a piezoelectric buzzer (frequency 2kHz, sound pressure 90dB) and is fixed to the side of the wear analysis unit 6.

[0069] Feedback unit 7 workflow diagram, explaining the feedback signal transmission path:

[0070] 1. Data input stage: After the wear analysis unit completes the 3D thermal map calculation, it sends a structured data packet to the feedback unit via Gigabit Ethernet. The data packet contains: the maximum wear depth value (unit: micron); the coordinate set of the abnormal area on the circumference of the sealing belt; and the compressed data of the complete wear thermal map.

[0071] 2. Core processing stage: The feedback control core (STM32H7 series industrial-grade MCU) parses the data and performs three-level judgments:

[0072] ①First level judgment (wear depth ≤ 50μm):

[0073] Trigger the green LED array to steady mode, and the acoustic components remain silent

[0074] ②Second level judgment (50μm<wear depth≤100μm):

[0075] Start the yellow LED array to flash at 1Hz (0.5 seconds on / 0.5 seconds off), and trigger the buzzer to emit a single 0.5 second beep.

[0076] ③Third level judgment (wear depth>100μm):

[0077] Activate the red LED rotation warning mode (16 rows of LEDs light up row by row to form a dynamic rotation effect), and the buzzer switches to continuous alarm mode (0.5 second beep / 0.5 second intermittent cycle)

[0078] 3. Spatial Mapping: The coordinates of the abnormal area are automatically converted to the physical location of the LED array. The valve seat circumference is expanded into a 0-359° coordinate system. Each 22.5° angular area corresponds to a column of LEDs (16 columns in total). The wear depth gradient is mapped to LED brightness (deep wear area brightness 100%, shallow wear area brightness 30%). For example, abnormal wear in the coordinate area [120°, 135°] will illuminate all LEDs in the sixth column.

[0079] 4. Multi-modal output execution, including ① optical warning system, ② acoustic alarm system:

[0080] ①Optical warning system:

[0081] Green: 256 LEDs illuminate evenly throughout the array

[0082] Yellow flashing: The corresponding LED in the abnormal area flashes synchronously at 1Hz

[0083] Red rotation: The LEDs in rows 1 to 16 light up in sequence, switching one row every 100ms to create a visual rotation effect.

[0084] ②Acoustic alarm system:

[0085] Single beep: 2kHz frequency, 0.5 seconds

[0086] Continuous alarm: 2kHz frequency cyclic beep (0.5 seconds on / 0.5 seconds off)

[0087] Alarm mode strictly matches wear level, and optical and acoustic signals are triggered synchronously

[0088] 5. Closed-loop data management, including ① real-time data recording, ② production system integration, and ③ historical tracing:

[0089] ① Real-time data recording: stores key parameters such as timestamp, cylinder head ID, maximum wear depth, etc.; saves abnormal area coordinates and original thermal map data;

[0090] ② Production system integration: Push alarm data to the Manufacturing Execution System (MES) via the OPC UA protocol; the workstation dashboard automatically displays the current cylinder head alarm status and wear location diagram

[0091] ③ Historical tracing: Scan the cylinder head QR code to retrieve the complete records of the last 10 inspections; support comparison of wear evolution trends by timeline;

[0092] The following is a specific implementation of the virtual verification steps

[0093] 1. Data docking process

[0094] 1. Data transmission: After the wear analysis unit generates a 3D thermal map, it automatically packages the wear depth distribution data into a standardized file. The data packet is then transmitted in real time to the virtual assembly system server via the workshop's industrial Ethernet.

[0095] 2. Model loading: The virtual assembly system automatically retrieves the corresponding valve 3D model (accuracy 0.01mm); a digital twin assembly consisting of the valve, seat ring, and combustion chamber is constructed on the ANSYS simulation platform.

[0096] 2. Dynamic Simulation Process

[0097] 3. Wear data mapping: A grid coordinate system (36 angular zones × 8 radial zones) is established on the surface of the seat ring seal band and the measured wear depth values ​​are injected into the corresponding grid nodes (e.g., the wear of the third ring in the 45° angular zone is 82 μm).

[0098] 4. Key simulation scenarios:

[0099] Scenario 1: Valve seating: simulates the valve impacting the seat ring at a speed of 0.5m / s (corresponding to the engine operating condition of 2500rpm)

[0100] Scenario 2: Pressure seal: Apply 15 MPa medium pressure (simulating the explosion pressure in the cylinder) for 3 seconds

[0101] 3. Sealing performance determination

[0102] 5. Leakage analysis:

[0103] The system automatically detects the fluid channel formed by the gap in the sealing belt

[0104] When the simulated leakage exceeds 0.05mm 3 / s (about 1 bubble / second) is considered invalid

[0105] 6. Result output:

[0106] Qualified output: A green "PASS" mark is displayed on the interface

[0107] Failure warning: Leak paths are highlighted in red in the 3D model (e.g., continuous leakage in the 120°-150° area); repair suggestions are automatically generated (e.g., "45° area needs to be ground 0.1mm")

[0108] 4. Evidence of Technical Effects

[0109] 7. Verification and comparison:

[0110]

[0111] 8. Application examples:

[0112] Abnormal wear (maximum depth 115μm) was detected in the 155° area of ​​a 1.5T cylinder head (model EA211).

[0113] Virtual verification shows that the leakage in this area is as high as 0.28mm 3 / s (5.6 times the limit)

[0114] After grinding 0.12mm as recommended by the system, the actual leakage measured on the bench was 0.03mm 3 / s(qualified)

[0115] 5. System linkage

[0116] 9. Failed cylinder head automatically triggers MES system locking

[0117] The maintenance station terminal displays the leakage path in real time in 3D animation

[0118] The historical data package (including heat map + simulation video) is linked to the cylinder head QR code for lifelong traceability. The following is the overall workflow

[0119] Step 1: The cylinder head is placed on the multi-stage positioning module 11, the tapered guide sleeve is automatically guided, and the pneumatic clamping jaws 141 complete the clamping within 0.5 seconds;

[0120] Step 2: The six-axis robotic arm 2 accurately positions the endoscope probe just above the seat ring (repeat positioning accuracy ±0.02mm);

[0121] Step 3: The workbench 1 rotates at 10 rpm, and the six-axis robot arm 2 moves downward synchronously (feed speed 0.5 mm / s), completing a spiral scan with a pitch of 0.1 mm.

[0122] Step 4: The wear analysis unit 6 generates a panoramic image in real time, and simultaneously performs macro-profile deviation detection and micro-defect identification;

[0123] Step 5: Output the three-dimensional wear heat map. If the local wear is greater than 100μm, the feedback unit triggers the red LED to flash and the buzzer to alarm.

[0124] Step 6: Import the wear data into the ANSYS simulation system to predict the valve seating leakage rate.

[0125] This specific embodiment is merely an explanation of the present invention and is not intended to limit the present invention. After reading this specification, those skilled in the art may make non-creative modifications to this embodiment as needed. However, as long as such modifications are within the scope of the claims of the present invention, they are protected by patent law.

Claims

1. A cylinder head valve seat wear detection device, characterized in that: include: A workbench (1) is provided with a multi-stage positioning module (11) for positioning a valve seat ring, a driving mechanism (12) for driving the workbench to rotate, and a base (13) for fixing the driving mechanism (12); A six-axis robotic arm (2) is provided with a mounting flange (21) at the end thereof, and a base is mounted on a base (13); An electronic endoscope module (3) is fixed on the mounting flange (21); An anti-shake mechanism (4), which is integrated at the connection between the mounting flange (21) and the electronic endoscope module (3); A circumferential light supplementation system (5) is integrated into the front end of the probe of the electronic endoscope module (3); A wear analysis unit (6) is data-connected to the electronic endoscope module (3); The feedback unit (7) is electrically connected to the wear analysis unit (6).

2. The cylinder head valve seat wear detection device according to claim 1, characterized in that: The electronic endoscope module (3) comprises a slender tubular mirror body (31), and a fisheye lens (32) is provided at the front end of the mirror body (31). The fisheye lens (32) has an ultra-wide viewing angle curved surface optical structure.

3. The cylinder head valve seat wear detection device according to claim 1, characterized in that: The multi-stage positioning module (11) includes a valve guide guide structure (15) and a cylinder head clamping device (14), wherein the guide structure (15) is a conical guide sleeve, the inner conical surface of which is in clearance fit with the outer wall of the valve guide, and the clamping device (14) includes at least three groups of radially distributed pneumatic clamping jaws (141), and the heads of the pneumatic clamping jaws (141) are provided with elastic friction pads (142).

4. The cylinder head valve seat wear detection device according to claim 1, characterized in that: The anti-shake mechanism (4) includes multi-stage vibration reduction, including an axial elastic element (41) and a radial damping element (42), wherein the axial elastic element (41) is a group of disc springs (411) uniformly distributed around the circumference, and the axis of the disc spring (411) is parallel to the axial direction of the electronic endoscope module (3), and the radial damping element (42) is a cross roller guide rail (421), and the slider (422) of the guide rail is rigidly connected to the housing of the electronic endoscope module (3).

5. The cylinder head valve seat wear detection device according to claim 1, characterized in that: The wear analysis unit (5) comprises: Image stitching module, used to generate a panoramic image of the sealing belt; Multi-scale analysis module, which performs macro-contour comparison and micro-texture recognition simultaneously; The heat map generation module outputs three-dimensional wear distribution.

6. The cylinder head valve seat wear detection device according to claim 1, characterized in that: The feedback unit (7) comprises an indicator light module (71) and an acoustic component (72); the indicator light module (71) is composed of a three-color LED array; the indicator light module (71) is encapsulated in a transparent protective cover (711) and fixed to the top of the wear analysis unit (5).

7. The cylinder head valve seat wear detection device according to claim 1, characterized in that: It also includes a thermal management system (8), which includes a heat dissipation structure (81) and an air flow channel (82) arranged inside the electronic endoscope module (3).

8. A method for detecting the wear of a cylinder head valve seat, using a cylinder head valve seat wear detection device according to any one of claims 1 to 7, characterized in that: The following steps are involved: Step 1: The multi-stage positioning module (11) fixes the cylinder head and makes the valve seat ring axis vertical; Step 2: The multi-axis robotic arm (2) positions the probe of the electronic endoscope module (3) above the valve seat ring; Step 3: The driving mechanism (12) rotates the workbench (1) and synchronously controls the multi-axis robotic arm (2) to perform spiral feed scanning; Step 4: the image stitching module in the wear analysis unit (6) generates a panoramic image of the sealing belt and identifies abnormal areas based on the multi-scale analysis module; Step 5: The thermal map generation module outputs a three-dimensional wear thermal map.

9. The method for detecting the wear of a cylinder head valve seat according to claim 8, characterized in that: The step five includes: Simultaneously detect contour deformation and surface micro-defects through multi-scale fusion analysis; Classify wear patterns based on machine learning models.

10. The method for detecting the wear of a cylinder head valve seat according to claim 8, characterized in that: After step five, a virtual verification step is performed to import the wear data into the virtual assembly system to simulate the valve seating and sealing state.

Images