A framework from point clouds to workpieces.

4区 计算机科学 Q1 Arts and Humanities Visual Computing for Industry, Biomedicine, and Art Pub Date : 2022-08-23 DOI:10.1186/s42492-022-00117-0
Li-Yong Shen, Meng-Xing Wang, Hong-Yu Ma, Yi-Fei Feng, Chun-Ming Yuan
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引用次数: 2

Abstract

Combining computer-aided design and computer numerical control (CNC) with global technical connections have become interesting topics in the manufacturing industry. A framework was implemented that includes point clouds to workpieces and consists of a mesh generation from geometric data, optimal surface segmentation for CNC, and tool path planning with a certified scallop height. The latest methods were introduced into the mesh generation with implicit geometric regularization and total generalized variation. Once the mesh model was obtained, a fast and robust optimal surface segmentation method is provided by establishing a weighted graph and searching for the minimum spanning tree of the graph for extraordinary points. This method is easy to implement, and the number of segmented patches can be controlled while preserving the sharp features of the workpiece. Finally, a contour parallel tool-path with a confined scallop height is generated on each patch based on B-spline fitting. Experimental results show that the proposed framework is effective and robust.

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从点云到工件的框架。
将计算机辅助设计和计算机数控技术与全球技术联系相结合已成为制造业的热门话题。实现了一个包含工件点云的框架,该框架由几何数据的网格生成、CNC的最佳表面分割和具有认证扇形高度的刀具路径规划组成。将隐式几何正则化和全广义变分的最新方法引入网格生成中。在获得网格模型后,通过建立加权图,寻找图中异常点的最小生成树,提供一种快速、鲁棒的最优曲面分割方法。该方法易于实现,并且在保持工件尖锐特征的同时可以控制分割补丁的数量。最后,基于b样条拟合,在每个贴片上生成限制扇贝高度的轮廓平行刀具轨迹。实验结果表明,该框架具有良好的鲁棒性和有效性。
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来源期刊
Visual Computing for Industry, Biomedicine, and Art
Visual Computing for Industry, Biomedicine, and Art Arts and Humanities-Visual Arts and Performing Arts
CiteScore
5.60
自引率
0.00%
发文量
28
审稿时长
5 weeks
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