journal article·2024-02

Multi-scale split matching three-dimensional reconstruction method of surface microcracks on the silicon nitride bearing roller

Dahai Liao, Kun Hu, Fuping Huang, Xiang Ning, Jianbo Le, Qi Zheng, Nanxing Wu

Ceramics International· Volume 50· Issue 3
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OpenAlex topics: Image and Object Detection Techniques · Optical Systems and Laser Technology · Industrial Vision Systems and Defect Detection

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References (22)

Show source-provided references
1. Fatigue behavior of silicon nitride ceramics10.1016/j.ceramint.2023.06.095 ↗
2. Room and elevated temperature sliding wear behavior and mechanisms of additively manufactured novel precipitation strengthened metallic composites10.1016/j.wear.2018.12.046 ↗
3. An enhancement algorithm based on adaptive updating template with Gaussian model for Si3N4 ceramic bearing roller surface defects detection10.1016/j.ceramint.2021.11.217 ↗
4. Investigation on spark electrical discharge machining of Si3N4 based advanced conductive ceramic composites
5. Extreme pressure lubrication between ceramic and bearing steel with liquid metal10.1016/j.triboint.2022.107797 ↗
6. Silicon nitride as a biomedical material: an overview10.3390/ijms23126551 ↗
7. Thermal characteristics of a 90-mm bore cylindrical roller bearings for aerospace applications: all-steel versus hybrid bearings10.1016/j.triboint.2023.108495 ↗
8. Characterization and performance analysis of 3D reconstruction of oil-lubricated Si 3 N 4–GCr15/GCr15–GCr15 friction and wear surface10.1007/s10973-020-09941-z ↗
9. Scratch behaviour of bulk silicon nitride ceramics10.3390/mi12060707 ↗
10. Microstructural and tribological characteristics of AA6351/Si3N4 composites manufactured by stir casting10.1016/j.jmrt.2020.09.128 ↗
11. An octree-based two-step method of surface defects detection for remanufacture10.1007/s40684-022-00433-z ↗
12. In-process calibration of a non-destructive testing system used for in-process inspection of multi-pass welding10.1016/j.matdes.2020.108981 ↗
13. An automatic defect detection method for TO56 semiconductor laser using deep convolutional neural network10.1016/j.cie.2023.109148 ↗
14. A three-dimensional reconstruction of coal microstructure using the Cryo-FIB-SEM technique10.1016/j.fuel.2020.117919 ↗
15. A novel three-dimensional reconstruction technology for the defect inspection of tubing and casing10.3390/pr11072168 ↗
16. Laser-based structured light technique for 3D reconstruction using extreme laser stripes extraction method with global information extraction10.1016/j.optlastec.2020.106897 ↗
17. 3D reconstruction model of an extra-abdominal desmoid tumor: a case study10.3389/fbioe.2020.00518 ↗
18. Snapshot 3D reconstruction of liquid surfaces10.1364/OE.392325 ↗
19. Concrete dam damage detection and localisation based on YOLOv5s-HSC and photogrammetric 3D reconstruction10.1016/j.autcon.2022.104555 ↗
20. 3D fingerprint recognition based on ridge-valley-guided 3D reconstruction and 3D topology polymer feature extraction10.1109/TPAMI.2019.2949299 ↗
21. 3D nearest neighbor index model combined with Nano-CT to analyze SiC particles in ZrB2-SiC ceramics10.1016/j.ceramint.2022.09.279 ↗
22. An improved RANSAC outlier rejection method for UAV-derived point cloud10.3390/rs14194917 ↗