4.4 Article

An Efficient Iso-Scallop Toolpath Planning Strategy Using Voxel-Based Computer Aided Design Model

出版社

ASME
DOI: 10.1115/1.4055372

关键词

toolpath planning; computer aided manufacturing; voxels; iso-scallop; region segmentation; computational geometry; GPU computing for design and manufacturing; manufacturing automation; manufacturing planning

向作者/读者索取更多资源

This paper presents a novel voxel-based toolpath planning algorithm for three-axis milling of freeform surfaces, aiming to address the computational complexity and time consumption issues. Two strategies, iso-scallop and hybrid iso-scallop, were proposed and tested extensively for complex freeform surface parts. The developed system was found to be computationally efficient, robust, and accurate in generating a finishing toolpath.
The primary objective of an efficient computer numerical control (CNC) finishing toolpath strategy is to reduce the machining time and maintain desired surface finish (scallop). Among traditional toolpath planning strategies, iso-scallop gives the shortest toolpath while achieving a uniform surface finish. However, it is computationally complex, time-consuming, and sometimes produces topological inconsistencies in regions of high curvature/gradient. This paper presents a novel voxel-based toolpath planning algorithm to address these issues for the three-axis milling of freeform surfaces. Two strategies have been proposed, namely, iso-scallop and hybrid iso-scallop. Gouge-free cutter location (CL) points are initially computed from the voxel-based model, followed by iso-scallop toolpath generation using a binary search algorithm. The hybrid strategy involves region segmentation to generate an adaptive toolpath in high curvature/gradients regions. The overlapping toolpath is stitched and refined to create an efficient iso-scallop-based tool path. The developed system was extensively tested for complex freeform surface parts and was found to be computationally efficient, robust, and accurate in generating a finishing toolpath.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据