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Liao D, Hu K, Li B, Zheng Q, Hu W, Wu N. A Coupled 3d Morphological Reconstruction Approach for Surface Microcrack in Si 3 n 4 Ceramic Bearing Roller Based on Adaptive Nano Feature Extraction & Multiscale Depth Fusion. SMALL METHODS 2023; 7:e2300396. [PMID: 37365960 DOI: 10.1002/smtd.202300396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 05/24/2023] [Indexed: 06/28/2023]
Abstract
To extract the fuzzy contour features, tiny depth features of surface microcracks in the Si3 N4 ceramic bearings roller. An adaptive nano feature extraction and multiscale deep fusion coupling method is proposed, to sufficiently reconstruct the three-dimensional morphology characteristics of surface microcracks. Construct an adaptive nano feature extraction method, form the surface microcrack image scale space and the Gaussian difference pyramid function equation, realize the detection and matching of global feature points. The sparse point cloud is obtained. Through polar-line correction, depth estimation, and fusion of feature points on the surface microcracks image, a multiscale depth fusion matching cost pixel function is established to realize a dense point cloud reconstruction of surface microcracks. The reconstruction results show that the highest value of the local convex surface reconstructed by the dense point cloud reaches 1183 nm, and the lowest local concave surface is accurate to 296 nm. Compared with the measurement results of the confocal platform, the relative error of the reconstruction result is 24.6%. The overall feature-matching rate of the reconstruction reaches 93.3%. It provides a theoretical basis for the study of surface microcrack propagation mechanism and the prediction of bearing life.
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Affiliation(s)
- Dahai Liao
- School of Mechanical and Electronic Engineering, Jingdezhen Ceramic University, Jingdezhen, Jiangxi, 333403, China
- Laboratory of Ceramic Material Processing Technology Engineering, Jiangxi province, Jingdezhen, Jiangxi, 333403, China
| | - Kun Hu
- School of Mechanical and Electronic Engineering, Jingdezhen Ceramic University, Jingdezhen, Jiangxi, 333403, China
| | - Bin Li
- School of Mechanical and Electronic Engineering, Jingdezhen Ceramic University, Jingdezhen, Jiangxi, 333403, China
| | - Qi Zheng
- School of Mechanical and Electronic Engineering, Jingdezhen Ceramic University, Jingdezhen, Jiangxi, 333403, China
| | - Weiwen Hu
- School of Mechanical and Electronic Engineering, Jingdezhen Ceramic University, Jingdezhen, Jiangxi, 333403, China
| | - Nanxing Wu
- School of Mechanical and Electronic Engineering, Jingdezhen Ceramic University, Jingdezhen, Jiangxi, 333403, China
- Laboratory of Ceramic Material Processing Technology Engineering, Jiangxi province, Jingdezhen, Jiangxi, 333403, China
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Prospects for additive manufacturing of nuclear fuel forms. PROGRESS IN NUCLEAR ENERGY 2023. [DOI: 10.1016/j.pnucene.2022.104493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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