Skeleton partition models for 3D printing

Xun Chen; Mingyong Chen

doi:10.1117/12.2636369

10 June 2022 Skeleton partition models for 3D printing

Xun Chen, Mingyong Chen

Proceedings Volume 12179, Second International Conference on Medical Imaging and Additive Manufacturing (ICMIAM 2022); 1217912 (2022) https://doi.org/10.1117/12.2636369
Event: Second International Conference on Medical Imaging and Additive Manufacturing (ICMIAM 2022), 2022, Xiamen, China

Abstract

In order to solve the problem that the model volume in 3D printing exceeds the working volume of 3D printer, a 3D mesh model segmentation method based on skeleton and concave point plane fitting was proposed. Firstly, the skeleton is extracted based on Laplacian mesh smoothing method, and the segmentation points set is obtained according to the adjacency relation of points. Secondly, according to the concave-convex principle of three-dimensional mesh model and the curvature of points, the concave points that meet the conditions are solved and the concave point fitting plane is obtained by the least square method. Finally, the concave plane normal vector is used to complete the plane segmentation optimization of 3d model feature points. Experimental results show that the decomposition results of the algorithm can keep the integrity of the typical feature parts of the model, have good surface accuracy and can reduce the printing support consumables.

Citation Download Citation

Xun Chen and Mingyong Chen "Skeleton partition models for 3D printing", Proc. SPIE 12179, Second International Conference on Medical Imaging and Additive Manufacturing (ICMIAM 2022), 1217912 (10 June 2022); https://doi.org/10.1117/12.2636369

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