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Gang Li,Zhonghou Wang,Aizoh Kubo 한국정밀공학회 2016 International Journal of Precision Engineering and Vol.17 No.3
A method for reconstructing the digital real tooth surfaces of hypoid gears can be a significant foundation for a variety of dynamic performance and lifetime prediction. This study demonstrates a new digital real tooth surfaces modeling approach for hypoid gears based on non-geometric-feature segmentation and interpolation algorithm. In this method, the discrete data points, which are obtained by using acoordinate measure machine (CMM), are segmented in the form of Delaunay triangular meshes. In order to identify irregular local micro-geometry features, the segmentation method starts with a feature detection based on normal vectors of Delaunay triangular meshes, identifying wear regions around each discrete data point, and is followed by region growing steps to divide tooth surface. In addition, a revised interpolation algorithm is applied to describe local micro-geometry features on wear regions via weighted factors to locally qualify the triangular vertexes. And the revised fairing algorithm minimizes the effect of noisy points. Experimental results from reconstruction of real tooth surface after wear test demonstrate that our method can improve the computation precision of wear region on actual tooth surfaces.
Xian Wang,Suping Fang,Xindong Zhu,Jing Ji,Pengcheng Yang,Masaharu Komori,Aizoh Kubo 한국광학회 2017 Current Optics and Photonics Vol.1 No.6
The extraction of the valid measurement region from the interference fringe pattern is a significant stepwhen measuring gear tooth flank form deviation with grazing incidence interferometry, which will affectthe measurement accuracy. In order to overcome the drawback of the conventionally used method in whichthe object image pattern must be captured, an improved segmentation approach is proposed in this paper. The interference fringe patterns feature, which is smoothed by the nonlinear diffusion, would be extractedby the structure tensor first. And then they are incorporated into the vector-valued Chan-Vese model toextract the valid measurement region. This method is verified in a variety of interference fringe patterns,and the segmentation results show its feasibility and accuracy.