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  • 学历: 博士研究生毕业
  • 学位: 博士
  • 职称: 教授

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Path Planning Method Based on Discontinuous Grid Partition Algorithm of Point Cloud for In Situ Printing

发布时间:2025-04-30
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发布时间:
2025-04-30
论文名称:
Path Planning Method Based on Discontinuous Grid Partition Algorithm of Point Cloud for In Situ Printing
发表刊物:
Rapid Prototyping Journal
摘要:
Abstract
Purpose – Path planning is an important part of three-dimensional (3D) printing data processing technology. This study proposed a new path planning method based on a discontinuous grid partition algorithm of point cloud for in situ printing.
Design/methodology/approach –Three types of parameters (i.e., structural, process, and path interruption parameters) were designed to establish the algorithm model with the path error and the computation amount as the dependent variables. The path error (i.e., boundary error and internal error) was further studied and the influence of each parameter on the path point density was analyzed quantitatively. The feasibility of this method was verified by skin in situ printing experiments.
Findings – Path point density was positively correlated with Grid_size and negatively related to other parameters. Point_space, Sparsity, and Line_space had greater influence on path point density than Indentation and Grid_size. In skin in situ printing experiment, two layers of orthogonal printing path were generated, and the material was printed accurately in the defect, which proved the feasibility of this method.
Originality/value –This study proposed a new path planning method that converted 3D point cloud data to a printing path directly, providing a new path planning solution for in situ printing. The discontinuous grid partition algorithm achieved controllability of the path planning accuracy and computation amount that could be applied to different processes.

Keywords: Point cloud; Path planning; In situ printing; Three-dimensional (3D) printing; Skin defect

https://www.emerald.com/insight/content/doi/10.1108/RPJ-03-2018-0056/full/html
合写作者:
Q Lian*, X Li, DC Li, H Gu, WG Bian
是否译文:
发表时间:
2019-04-08