Processing method of arc-moistening glass cover plate

Abstract

The invention discloses a processing method of an arc-moistening glass cover plate. The processing method comprises the following steps: detecting material characteristics; analyzing material characteristics to optimize numerical control algorithm parameters; based on the optimized numerical control algorithm parameters, cutting and CNC shape processing are carried out on the original glass base material, and the glass cover plate of a curved surface structure is obtained; processing quality detection is carried out, detection data is generated, computer defect identification is carried out based on the detection data, and compensation parameters are calculated by using an intelligent error compensation algorithm based on a defect identification result so as to optimize numerical control algorithm parameters; precisely polishing; performing surface quality detection on the glass cover plate after precision grinding, and performing optical performance evaluation based on surface quality detection data; and adjusting the soaking parameters of the polishing solution according to the evaluation result, and polishing the glass cover plate to obtain a final product, namely the smooth arc glass cover plate. Final product detection is carried out, and numerical control algorithm parameters are optimized according to a detection result. According to the method, a high-temperature hot bending molding mode is avoided, and the machining precision and the yield of the wet arc glass cover plate are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of glass cover plate processing, and specifically to a processing method for a rounded-edge glass cover plate. Background Art

[0002] The rounded-edge glass cover plate is widely used in the field of electronic devices due to its unique appearance with a rounded edge and good touch. The curved surface of the existing 3D rounded-edge glass cover plate is shaped by hot press bending. The hot press bending method has high requirements for the thickness of the glass substrate before processing the rounded-edge glass cover plate. It is often necessary to make the thickness of the glass substrate less than 1.8 mm so as to facilitate subsequent hot press bending forming. Therefore, the production preparation process of the glass substrate in the early stage has high requirements; and the yield of the glass cover plate during the hot press bending shaping process is not high, and a large number of defective products often appear, resulting in a high production cost of the entire 3D rounded-edge glass cover plate. Summary of the Invention

[0003] In order to solve the deficiencies in the prior art, the present invention provides a processing method for a rounded-edge glass cover plate. Through CNC contour machining, a glass cover plate with a curved surface structure can be produced without using the method of high-temperature hot press bending shaping. The requirements for the original glass substrate are relatively low, the processing accuracy and yield of the rounded-edge glass cover plate are improved, and the production cost is reduced; the present invention also optimizes the numerical control algorithm parameters through steps such as material property analysis, processing quality detection, and final product detection, that is, optimizes the numerical control parameters of cutting, CNC contour machining, and precision grinding, further improving the processing efficiency and yield.

[0004] To achieve the above object, the present invention is realized through the following technical solutions:

[0005] A processing method for a rounded-edge glass cover plate, comprising the following steps:

[0006] Material property detection: Detect the original glass substrate to be processed to obtain the material property parameters of the original glass substrate;

[0007] Material property analysis: Based on the material property parameters, perform property analysis to optimize the numerical control algorithm parameters;

[0008] Cutting: Based on the optimized numerical control algorithm parameters, cut the original glass substrate to obtain a glass cover plate substrate with a planar structure, and the thickness of the original glass substrate is greater than the thickness of the final product, the rounded-edge glass cover plate;

[0009] CNC contour machining: Based on the optimized numerical control algorithm parameters, perform CNC contour machining on the glass cover plate substrate. The glass cover plate substrate has opposite first and second surfaces along its thickness direction. Cut and / or thin the first and second surfaces of the glass cover plate substrate to obtain a glass cover plate with a curved surface structure;

[0010] Processing quality inspection: Inspect the glass cover substrate with a planar structure obtained after cutting and the glass cover with a curved surface structure obtained after CNC contour machining, generate inspection data, perform computer defect recognition based on the inspection data, and calculate compensation parameters using an intelligent error compensation algorithm based on the defect recognition results to optimize the numerical control algorithm parameters;

[0011] Precision grinding: Perform precision grinding on the glass cover with a curved surface structure based on the optimized numerical control algorithm parameters;

[0012] Surface quality inspection: Inspect the surface quality of the precision-ground glass cover, evaluate the optical performance based on the surface quality inspection data, and adjust the polishing liquid immersion parameters according to the evaluation results;

[0013] Polishing: Polish the glass cover with qualified surface quality using a polishing liquid to obtain the final product, the rounded-edge glass cover;

[0014] Final product inspection: Perform a final inspection on the polished rounded-edge glass cover and optimize the numerical control algorithm parameters according to the inspection results.

[0015] The material property inspection includes: inspecting the hardness, composition, and thickness of the original glass substrate.

[0016] The computer defect recognition based on the inspection data in the processing quality inspection step includes:

[0017] Obtain LiDAR point cloud data, preprocess the LiDAR point cloud data, and extract LiDAR point cloud features;

[0018] Obtain multi-view image data, preprocess the multi-view image data, and extract multi-view image features;

[0019] Fuse the multi-view image features and then fuse them with the LiDAR point cloud features to generate image-LiDAR features;

[0020] Map the image-LiDAR features to a bird's-eye view, perform spatial encoding and bird's-eye view feature extraction;

[0021] Use an object detection network to perform object detection on the bird's-eye view features, generate candidate boxes for object detection, perform non-maximum suppression on the candidate boxes, remove redundant detection results, and output 3D bounding boxes and confidence scores;

[0022] Perform non-maximum suppression on the 3D object detection results to remove overlapping detection boxes; screen the final detection results according to the confidence scores; output the final detection results.

[0023] The surface quality inspection specifically includes the following steps:

[0024] Obtain the optical image and tactile sensor data for surface quality inspection;

[0025] Standardize the optical image, and the optical feature encoder extracts optical features;

[0026] Standardize the tactile sensor data, and the tactile feature encoder extracts tactile features;

[0027] Fuse the optical features and tactile features to generate multi-modal features;

[0028] Based on the multi-modal features, conduct a depth optical performance evaluation and output the evaluation results;

[0029] Judge whether there are defects according to the evaluation results. The types of defects include micro-cracks and surface unevenness;

[0030] Adjust the polishing liquid immersion parameters according to the defect detection results, and mark, isolate or return the products with detected defects for reprocessing.

[0031] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0032] 1. The present invention can produce a glass cover plate with a curved surface structure through CNC contour machining, without using the method of high-temperature hot press bending and shaping, and has low requirements for the original glass substrate. The thickness of the original glass substrate can be more than 3 mm, such as 5-8 mm. Therefore, the requirements for the pre-processing of the glass substrate are low, and the error tolerance rate during processing is high; moreover, the processing method of the present invention improves the processing accuracy and yield rate of the arc glass cover plate, and reduces the production cost.

[0033] 2. The present invention optimizes the numerical control algorithm parameters by detecting and analyzing the material properties of the original glass sheet, that is, optimizing the numerical control parameters of cutting, CNC contour machining, and precision grinding, further improving the processing efficiency and yield rate.

[0034] 3. In the processing quality inspection step of the present invention, computer defect recognition is performed on the defects of the glass cover plate, and based on the defect recognition results, an intelligent error compensation algorithm is used to calculate the compensation parameters, further optimizing the numerical control algorithm parameters and providing real-time feedback to adjust the cutting and CNC contour machining processes in real time, improving the quality and finished product rate of the arc glass cover plate.

[0035] 4. In the surface quality inspection step of the present invention, surface quality inspection is performed on the glass cover plate after precision grinding, and optical performance evaluation is performed based on the surface quality inspection data to adjust the polishing liquid immersion parameters according to the evaluation results, improving the polishing efficiency and effect, and further improving the quality and finished product rate of the arc glass cover plate.

[0036] 5. The present invention obtains a polished arc glass cover plate with a flat surface, excellent optical properties, and smooth and beautiful edges through material property detection, material property analysis, cutting, CNC contour machining, machining quality detection, computer defect recognition, calculation of compensation parameters by an intelligent error compensation algorithm, precision grinding, surface quality detection, optical property evaluation, polishing, and final product detection. Description of the Drawings

[0037] Attached Figure 1 is a schematic structural view of the polished arc glass cover plate of the present invention.

[0038] Attached Figure 2 is one of the schematic curved surface structures of the polished arc glass cover plate of the present invention.

[0039] Attached Figure 3 is the second of the schematic curved surface structures of the polished arc glass cover plate of the present invention.

[0040] Attached Figure 4 is a schematic structural view of the glass cover plate substrate with a planar structure obtained after cutting the present invention.

[0041] Attached Figure 5 is a schematic structural view of the CNC contour machining step in the method of the present invention. Detailed Embodiments

[0042] In order to make the objectives, technical solutions, and advantages of the technical solutions of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of specific embodiments of the present invention. The same reference numerals in the drawings represent the same components. It should be noted that the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the described embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0043] The polished arc glass cover plate 1 of the present invention may have a structure as shown in Figure 1 , Figure 2 , with a planar region 11 at the central part and a curved surface region 12 at least on one edge; or it may have a structure as shown in Figure 3 , presenting an overall curved surface structure.

[0044] Embodiment 1

[0045] The present invention provides a processing method for a polished arc glass cover plate, including the following steps:

[0046] S1. Material property detection: Detect the original glass substrate to be processed to obtain the material property parameters of the original glass substrate; the material property parameters include the hardness, composition, thickness, etc. of the original glass substrate.

[0047] S2. Material property analysis: Conduct property analysis based on material property parameters to optimize the numerical control algorithm parameters. The material properties of the original glass substrate can be analyzed using AI. The numerical control algorithm parameters include those for cutting and CNC contour machining. Specifically, in the cutting step, parameters such as the laser power, cutting speed, and pulse frequency of a high-precision glass laser cutting machine are involved; in the CNC contour machining step, cutting parameters are included; in the precision grinding step, the rotational speed of the grinding machine is involved.

[0048] S3. Cutting: Cut the original glass substrate based on the optimized numerical control algorithm parameters to obtain the glass cover substrate 2 with a planar structure (as shown in Figure 4 ), and the thickness of the original glass substrate is greater than that of the final product, the arc-shaped glass cover.

[0049] In this cutting step, a high-precision glass laser cutting machine can be used for cutting. It has a precise positioning system and a laser beam with high energy density, capable of precisely cutting the glass to ensure that the cutting dimensions and edge shapes meet the design requirements. The glass cover substrate 2 obtained in this cutting step has the same thickness as the original glass substrate. The specific operation process: Place the original glass substrate on the workbench of the high-precision glass laser cutting machine, set the cutting path through the numerical control system. The cutting path can be the outer contour of the projection of the final product, the arc-shaped glass cover, on the plane perpendicular to its thickness or the margin set by extending outward. The laser beam cuts the original glass substrate along the preset cutting path to obtain the glass cover substrate with a planar structure. During this cutting process, parameters such as laser power and cutting speed should be strictly controlled to ensure that the cut arcs are uniform and the edges are smooth, avoiding defects such as chipping and cracking. After cutting, carefully remove the cut glass cover substrate 2 and prepare to enter the next process. Figure 4 shown, and its thickness is the same as that of the original glass substrate. The specific operation process: Place the original glass substrate on the workbench of the high-precision glass laser cutting machine, set the cutting path through the numerical control system. The cutting path can be the outer contour of the projection of the final product, the arc-shaped glass cover, on the plane perpendicular to its thickness or the margin set by extending outward. The laser beam cuts the original glass substrate along the preset cutting path to obtain the glass cover substrate with a planar structure. During this cutting process, parameters such as laser power and cutting speed should be strictly controlled to ensure that the cut arcs are uniform and the edges are smooth, avoiding defects such as chipping and cracking. After cutting, carefully remove the cut glass cover substrate 2 and prepare to enter the next process.

[0050] S4. CNC contour machining: Conduct CNC contour machining on the glass cover substrate based on the optimized numerical control algorithm parameters. The glass cover substrate has opposite first and second surfaces along its thickness direction. Cut and / or machine the first and second surfaces of the glass cover substrate to thin it down to obtain a glass cover with a curved surface structure.

[0051] Specifically, as shown in Figure 5 , perform drill machining or laser cutting on the edge position of the upper surface 21 of the glass cover substrate 2 to form an arc-shaped structure at its edge; perform drill machining or laser cutting on the lower surface 22 of the glass cover substrate 2 to remove the excess part to form a glass cover with a curved surface structure.

[0052] In this step, according to the specific shape, size, precision requirements, etc. of the tempered arc glass cover plate, professional computer-aided manufacturing (CAM) software (such as UG, Mastercam, etc.) is used for programming. Tool paths, cutting parameters, machining sequences, etc. are set to generate a numerical control program that can be recognized by the CNC machine tool. According to the material properties and machining process requirements of the tempered arc glass cover plate, appropriate CNC tools are selected. Commonly used carbide tools, including milling cutters (end mills, ball nose mills, etc.), are used for operations such as cutting the outer shape, drilling, and grooving. When machining glass, diamond tools are selected to meet the machining requirements of its high-hardness material. At the same time, it is necessary to ensure that the precision, edge sharpness, etc. of the tools meet the machining standards, and they are installed in the tool magazine of the CNC machine tool and accurately tooled. Parameters such as tool length compensation and radius compensation are set.

[0053] S5. Machining quality inspection: Inspect the glass cover plate substrate with a planar structure obtained after cutting and the glass cover plate with a curved surface structure obtained after CNC contour machining, and generate inspection data. Based on the inspection data, computer vision defect recognition is performed, and based on the defect recognition results, an intelligent error compensation algorithm is used to calculate compensation parameters to optimize the numerical control algorithm parameters.

[0054] In this step, the inspection of the glass cover plate substrate with a planar structure and the glass cover plate with a curved surface structure can include dimensional accuracy inspection, geometric shape inspection, edge quality inspection, and surface defect inspection. A LiDAR sensor can be used to scan the glass surface to obtain high-precision 3D point cloud data, ensuring that the scanning range covers the entire surface of the glass, especially the cutting and curved surface machining areas. Multiple cameras are used to capture multi-view image data of the glass surface from different angles, ensuring that the images cover the entire surface of the glass, especially the cutting and curved surface machining areas.

[0055] The computer vision defect recognition based on the inspection data includes:

[0056] S51. Obtain LiDAR point cloud data. After preprocessing the LiDAR point cloud data, extract LiDAR point cloud features. The preprocessing of the LiDAR point cloud data includes filtering: using filtering algorithms (such as statistical filtering, radius filtering) to remove outliers and noise; downsampling: using voxel grid filtering to downsample the point cloud to reduce the data volume while retaining key features; coordinate alignment: align the LiDAR point cloud data with the global coordinate system to ensure the consistency of subsequent processing; ground removal: using the RANSAC or plane fitting algorithm or a deep learning method to remove the ground point cloud and retain the point cloud data of the glass surface. To extract LiDAR point cloud features, point cloud feature extraction networks such as PointNet or PointNet++ can be used to extract point cloud features, and the extracted features include geometric shape, curvature, normal vector, etc.

[0057] S52. Obtain multi-view image data. After preprocessing the multi-view image data, extract multi-view image features. Preprocessing the multi-view image data includes image denoising: using Gaussian filtering or median filtering to remove image noise; image enhancement: performing operations such as contrast enhancement and histogram equalization on the image to improve the visibility of the defect area; image alignment: using feature point matching (such as SIFT, ORB) and perspective transformation to align the multi-view images to the same coordinate system. To extract multi-view image features, a convolutional neural network (such as ResNet, VGG) can be used to extract the depth features of each image.

[0058] S53. After fusing the multi-view image features, fuse them with the LiDAR point cloud features to generate image-LiDAR features. To fuse the multi-view image features, an attention mechanism or a feature pyramid network (FPN) can be used to fuse the multi-view image features to generate global image features. The fusion of image-LiDAR features includes: mapping the LiDAR point cloud features and the multi-view image features to the same coordinate system, and using a multi-modal fusion network (such as PointFusion or MVPFusion) to fuse the image features and the LiDAR point cloud features to generate image-LiDAR features.

[0059] S54. Map the image-LiDAR features to a bird's-eye view and perform spatial encoding and bird's-eye view feature extraction. That is, project the image-LiDAR features into the bird's-eye view (BEV) space to generate a 2D bird's-eye view representation, and use convolutional layers or Transformers to perform spatial encoding on the bird's-eye view to extract bird's-eye view features.

[0060] S55. Use an object detection network to decode the bird's-eye view features, generate candidate boxes and confidence scores, and perform non-maximum suppression on the candidate boxes to remove redundant candidate boxes;

[0061] S56. Optimize the candidate box parameters to generate 3D bounding boxes, and based on confidence screening, output the final detection results. The final detection results include defect types, positions, sizes, and confidence scores, etc. Defect types include: dimensional error, edge radian error, surface defect error, uneven edge cutting error, etc. Surface defect errors, such as the position and severity of defects such as chipping and cracking; uneven edge cutting errors, the serrated or uneven condition of the edge.

[0062] Based on the defect recognition results, use an intelligent error compensation algorithm to calculate compensation parameters to optimize the numerical control algorithm parameters. Optimization algorithms (such as genetic algorithms, particle swarm optimization) can be used to calculate the optimal compensation parameters, and the calculated compensation parameters are fed back to the numerical control system to adjust the cutting and CNC profile machining processes in real time. The compensation parameters include dimensional compensation parameters, radian compensation parameters, edge compensation parameters, and surface defect compensation parameters. Dimensional compensation: The compensation amount of the cutting path can be calculated according to the dimensional error; Radian compensation: Adjust the angle and path of the cutting tool according to the radian error; Edge compensation: Adjust the cutting path and tool posture according to the uneven edge cutting situation; Surface defect compensation: Adjust the cutting and CNC profile machining parameters (such as laser power, cutting depth, cutting speed, tools for CNC profile machining, drill pressure, etc.) according to the defect position and severity. This step can achieve closed-loop control, monitor the cutting and CNC profile machining results in real time, and dynamically adjust the compensation parameters.

[0063] S6. Precision grinding: Based on the optimized numerical control algorithm parameters, perform precision grinding on the glass cover plate with a curved surface structure after passing the machining quality inspection.

[0064] During grinding, use a special grinding tool or grinding method for the edge radian part, such as using an arc-shaped grinding head, increasing the grinding frequency and time for the edge, and ensuring the grinding quality of the edge radian. Grinding includes rough grinding, medium grinding, fine grinding, cleaning, and air drying processes. Specifically:

[0065] Rough grinding process: Select 120-mesh sandpaper to perform rough grinding on the glass cover plate with a curved surface structure obtained after CNC profile machining. Set the grinding machine speed at 500 - 1500 r / min, the grinding time at 1 - 2 min, and grind the preset position; Grind the more obvious edges generated by cutting to make the edges of the glass plate initially show a rounded state.

[0066] Medium grinding process: Select 240-mesh sandpaper to perform medium grinding on the glass cover plate after rough grinding. Set the grinding machine speed at 500 - 1500 r / min, the grinding time at 1 - 2 min, and grind the preset position; Remove the deeper scratches left by rough grinding to make the surface smoother.

[0067] Fine grinding process: Select 400-mesh sandpaper to perform fine grinding on the glass cover plate after medium grinding. Set the grinding machine speed at 500 - 1500 r / min, the grinding time at 1 - 2 min, and grind the preset position.

[0068] In this grinding step, based on the optimized numerical control algorithm parameters, adjust the rotation speed of the grinding machine and the pressure applied to the glass cover plate to achieve different degrees of grinding operations on the glass cover plate. The operator should observe the grinding effect of the glass cover plate in real time and judge whether there are problems such as uneven grinding or local over-grinding through touch, vision or instruments (such as a roughness measuring instrument to detect the surface roughness of the glass). Ensure that the grinding quality meets the requirements. Once any abnormality is found, stop the machine in time and adjust the parameters of the grinding equipment.

[0069] After grinding, perform cleaning. In the cleaning step, a JieMeng JP-2144GH double-tank ultrasonic cleaning machine can be used for the cleaning operation, and deionized water is used as the cleaning agent to ensure that no new impurities are introduced during the cleaning process. The specific cleaning steps are as follows: Gently place the ground glass cover plate into the cleaning tank of the cleaning machine and soak it for 3 - 5 minutes, so that the grinding debris, dust and other impurities attached to the glass surface are fully detached from the glass surface under the action of ultrasonic waves; After soaking, take out the glass cover plate and rinse it with flowing deionized water for 1 - 2 minutes to further wash away the loosened impurities, and then place the cleaned glass cover plate on a clean drying rack for standby. It can also be dried with a hot air blower.

[0070] In the air-drying step: An Yide intelligent temperature-controlled hot air blower can be used for air-drying treatment, which can accurately control the temperature and avoid adverse effects on the glass cover plate due to too high or too low temperature. Specifically, place the cleaned glass cover plate at a suitable position below the air outlet of the hot air blower, set the temperature at 35 - 40 °C, and control the air-drying time at 20 - 30 minutes; During this process, keep the distance between the air outlet of the hot air blower and the glass cover plate appropriate to prevent local overheating from causing glass deformation, and at the same time ensure that the moisture on the surface of the glass cover plate can be fully evaporated to avoid residual moisture diluting the subsequent polishing liquid and affecting the polishing effect.

[0071] S7. Surface quality inspection: Conduct surface quality inspection on the precision-ground glass cover plate and perform optical performance evaluation based on the surface quality inspection data. The specific steps include the following:

[0072] S71. Obtain the optical image and tactile sensor data of the surface quality inspection; A high-resolution industrial camera or an optical scanning device can be used to obtain the optical image of the surface of the product to be inspected to capture fine defects such as microcracks and surface unevenness; A roughness measuring instrument, a high-precision tactile sensor, etc. can be used to detect the surface of the product and record the surface roughness, etc.

[0073] S72. Standardize the optical image, and the optical feature encoder extracts optical features. Preprocess the acquired optical image, including operations such as denoising, grayscale conversion, and contrast enhancement. Use an optical feature encoder deep learning model (such as a convolutional neural network CNN) or traditional image processing algorithms (such as edge detection and texture analysis) to extract optical features. The extracted features include surface texture, defect area contour, etc. The extracted features can be encoded into a fixed-length vector for subsequent fusion.

[0074] S73. Standardize the tactile sensor data, and the tactile feature encoder extracts tactile features. Filter the raw data collected by the tactile sensor to remove noise and normalize the data to a unified range (such as between 0 and 1) to eliminate the sensor dimension difference. The tactile feature encoder, such as a deep learning model, directly learns features from the raw data. The model automatically extracts task-related features through training without manual feature design. The extracted tactile features include surface roughness, etc. The extracted features are encoded into a fixed-length vector.

[0075] S74. Fuse the optical features and tactile features to generate multimodal features. Ensure that the optical features and tactile features are spatially aligned (i.e., the optical and tactile data in the same area correspond), and use timestamps or spatial coordinates for matching. Adopt multimodal fusion methods (such as feature splicing, weighted average, or deep learning fusion model) to combine the optical features and tactile features. The generated multimodal features can describe the surface quality more comprehensively.

[0076] S75. Conduct a deep optical performance evaluation based on the multimodal features and output the evaluation results. Use a trained deep learning model (such as a multi-layer perceptron MLP or a support vector machine SVM) to classify or regress the multimodal features. The model outputs a score or classification result of the surface quality (such as qualified, microcrack, surface unevenness, etc.). The evaluation results are output: Output the evaluation results, including the surface quality score, defect type, and location information.

[0077] S76. Judge whether there are defects according to the evaluation results. The defect types include microcracks and surface unevenness. The specific location and size of the defects can also be marked and recorded for subsequent processing. Tiny cracks may be caused by material stress or improper processing. Surface unevenness: An uneven area may be caused by uneven polishing or mechanical damage.

[0078] S77. Adjust the polishing fluid immersion parameters according to the defect detection results, and mark, isolate, or return the products with detected defects for reprocessing. The polishing fluid immersion parameters include: polishing fluid concentration, temperature, and immersion time. Dynamically adjust the polishing fluid immersion parameters according to the defect type and severity. Increasing the concentration can improve the polishing effect, appropriately increasing the temperature can accelerate the polishing process, and extending the immersion time can improve the surface quality. Mark the products with detected defects, record the defect information, isolate the defective products to prevent them from flowing into the next process; for repairable defects, return them for reprocessing; for irreparable defects, perform scrapping processing.

[0079] S8. Polishing: Use the polishing fluid to polish the arc glass cover plate with qualified surface quality to obtain the final product, the arc glass cover plate.

[0080] Through polishing, the fine scratches and unevenness generated during the previous processing such as cutting, CNC contour machining, and precision grinding of the glass cover plate can be removed, making the surface of the glass cover plate highly flat, ensuring the smooth touch and visual transparency during subsequent use; polishing can also optimize the optical performance, reduce the scattering and refraction of light on the surface of the glass cover plate, improve the light transmittance, enhance the display effect, and make the screen display clearer and brighter; Create a rounded edge: Fine-polish the arc part of the edge of the arc glass cover plate to make its edge present a smooth and natural curve, which conforms to the ergonomic design and improves the overall texture and beauty of the product.

[0081] In this step, select the polishing fluid according to the glass material and polishing requirements. Diamond polishing fluid or silica polishing fluid can be selected. Diamond polishing fluid has high hardness and is suitable for removing stubborn fine scratches and improving the polishing efficiency; silica polishing fluid can make the glass surface obtain better smoothness and optical performance. Usually, it can be selected to use alone or in combination according to the actual situation. Adjust the polishing fluid immersion parameters according to the optical performance evaluation results. The polishing fluid immersion parameters include: polishing fluid concentration, temperature, and immersion time.

[0082] Specifically, the polishing includes the following steps:

[0083] (1) Immerse with a suitable polishing fluid: Carefully transfer the air-dried glass cover plate to an immersion tank filled with an appropriate amount of polishing fluid, ensure that the glass cover plate is completely immersed in the polishing fluid, and the immersion time is determined according to factors such as the concentration of the polishing fluid, the material and surface condition of the glass cover plate, generally between 20s - 5min; During the immersion process, gently stir appropriately to make the polishing fluid better contact with the surface of the glass cover plate and play the polishing role; After immersion, use a clean clamp to take out the glass cover plate from the immersion tank and place it on a draining rack to let the excess polishing fluid drain naturally for standby.

[0084] (2) Cleaning: Move the glass cover plate soaked with polishing liquid to a dedicated cleaning machine. First, rinse the glass cover plate with clean deionized water for about 2 - 3 minutes to ensure that most of the polishing liquid attached to the surface is washed off. Then, immerse the glass cover plate in a clean water tank and soak it for another 2 - 3 minutes to further remove the residual polishing liquid through the soaking action of water, making the glass surface cleaner. After the soaking is completed, take out the glass cover plate and prepare for the next air-drying process.

[0085] (3) Air-drying: First, gently wipe the water droplets on the surface of the glass cover plate with soft wiping materials such as clean cotton cloth and fiber cloth to remove the surface moisture as much as possible. Then, place the glass cover plate in a hot air blower for air-drying. In this air-drying step, the air-drying parameters are as follows: Keep the temperature of the hot air blower at 15 - 25°C, and set the air-drying time to 30 - 45 minutes. The lower temperature can avoid the influence of thermal stress on the glass cover plate caused by high temperature, and at the same time ensure that the surface of the glass cover plate can be thoroughly dried for subsequent final product quality inspection and packaging processes.

[0086] S8. Conduct a final inspection on the polished arc-shaped glass cover plate and optimize the numerical control algorithm parameters according to the inspection results.

[0087] Conduct a full inspection on the arc-shaped glass cover plate that has completed the polishing process. Adopt a combination of automated inspection equipment and manual visual inspection to ensure the accuracy and comprehensiveness of the inspection results. For the unqualified products detected, record in detail their defect types and quantities, analyze the reasons for the problems, and feedback them to the corresponding processes for improvement.

[0088] In this step, a high-precision optical inspection machine, appearance inspection equipment, etc. can be used to conduct a comprehensive inspection on the air-dried glass cover plate. The inspection items include whether there are appearance defects such as cracks, scratches, and pockmarks on the surface of the glass cover plate, measuring whether its dimensional accuracy meets the design standards, and at the same time detecting optical performance indicators such as light transmittance to ensure that the product quality meets the requirements. If it is detected that the arc-shaped glass cover plate has cracks, serious scratches, or other situations that do not meet the quality standards, then this cover plate is determined to be unqualified and needs to be picked out from this batch for separate treatment or scrapping; if all the inspection indicators are qualified, then issue a relevant inspection report for this glass cover plate indicating that it can enter the packaging process.

[0089] Packaging equipment and materials: Transfer the qualified arc-shaped glass cover plate to a carton forming machine (such as shortcutrpk - 40h12 type) for packing. Use packaging cartons that meet the product protection requirements, and spray barcodes, product information, production date, etc. on the outer packaging through Jiahui zxw190 inkjet printers to facilitate product traceability and management.

[0090] Packaging operation: Place the glass cover plates neatly in the packing box according to the specified quantity and placement method, and fill in appropriate cushioning materials (such as foam, EPE, etc.) to prevent the glass cover plates from being damaged by collision, extrusion, etc. during transportation and storage. Then seal the packing box to complete the last process of the entire polishing process of the rounded-edge glass cover plates.

[0091] Those skilled in the art should understand that the above specific embodiments are merely examples rather than limitations, and various modifications, combinations, partial combinations, and substitutions can be made to the embodiments of the present invention according to design requirements and other factors, as long as they are within the scope of the appended claims or their equivalents, that is, they belong to the scope of rights to be protected by the present invention.

Claims

1. A method for processing a lubricated arc glass cover plate, characterized in that: The following steps are involved: Material property testing: Test the original glass substrate to be processed to obtain the material property parameters of the original glass substrate; Material property analysis: Conduct property analysis based on material property parameters to optimize CNC algorithm parameters; Cutting: Cut the original glass substrate based on the optimized CNC algorithm parameters to obtain a glass cover substrate with a planar structure; CNC contour processing: CNC contour processing is performed on the glass cover substrate with a planar structure based on the optimized CNC algorithm parameters, the glass cover substrate has a first surface and a second surface opposite to each other along its thickness direction, and the first surface and the second surface of the glass cover substrate are cut or / and cut and thinned to obtain a glass cover with a curved structure; Processing quality inspection: inspect the glass cover substrate with a planar structure obtained after cutting and the glass cover substrate with a curved surface structure obtained after CNC contour processing, and generate inspection data, perform computer defect recognition based on the inspection data, and calculate compensation parameters using an intelligent error compensation algorithm based on the defect recognition results to optimize CNC algorithm parameters; Precision grinding: Precision grinding of glass cover plates with curved structures; Surface quality inspection: Surface quality inspection is performed on the precision-polished glass cover plate, optical performance is evaluated based on the surface quality inspection data, and polishing liquid immersion parameters are adjusted according to the optical performance evaluation results; Polishing: polishing the glass cover plate that has passed the surface quality inspection with a polishing liquid to obtain the final product, the smooth arc glass cover plate; Final product testing: Test the final product, the curved glass cover, after polishing, and optimize the CNC algorithm parameters based on the test results.

2. The method for processing a smooth arc glass cover plate according to claim 1, characterized in that: The material property detection includes: detecting the hardness, composition and thickness of the original glass substrate.

3. The method for processing a smooth arc glass cover plate according to claim 1, characterized in that: The computer defect recognition based on the detection data in the processing quality detection step includes: Obtain LiDAR point cloud data, pre-process the LiDAR point cloud data, and extract LiDAR point cloud features; Acquire multi-view image data, pre-process the multi-view image data, and extract multi-view image features; After fusing the multi-view image features, they are then fused with the LiDAR point cloud features to generate image-LiDAR features; Map the image-LiDAR features into a bird's-eye view, and perform spatial encoding and bird's-eye view feature extraction; Use the target detection network to decode the bird's-eye view features, generate candidate boxes and confidence scores, and perform non-maximum suppression on the candidate boxes; Optimize candidate box parameters, generate 3D bounding boxes, filter based on confidence, and output final detection results.

4. The method for processing a smooth arc glass cover plate according to claim 1, characterized in that: Surface quality inspection specifically includes the following steps: Acquire optical images and tactile sensor data for surface quality inspection; The optical image is standardized, and the optical feature encoder extracts the optical features; The tactile sensor data is standardized, and the tactile feature encoder extracts the tactile features; Fusion of optical and tactile features to generate multimodal features; Perform deep optical performance evaluation based on multimodal features and output evaluation results; Determine whether there are defects based on the evaluation results. Defect types include microcracks and surface unevenness; Polishing liquid immersion parameters are adjusted based on defect detection results, and products with detected defects are marked, isolated or returned for reprocessing.

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