期刊
RAPID PROTOTYPING JOURNAL
卷 28, 期 3, 页码 453-465出版社
EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/RPJ-12-2020-0319
关键词
STL; Adaptive slicing; Ameliorative area ratio; Cusp height
资金
- National Key Research and Development Program of China [2020YFA0713700]
- National Natural Science Foundation of China [12171023, 12001028]
The study introduces a new adaptive slicing method for 3D printing, which reduces the number of layers while keeping the geometric error within a given threshold through improved area ratio and accurate cusp height. This method shows promising results and feasibility in the field of three-dimensional printing.
Purpose Adaptive slicing is a key step in three-dimensional (3D) printing as it is closely related to the building time and the surface quality. This study aims to develop a novel adaptive slicing method based on ameliorative area ratio and accurate cusp height for 3D printing using stereolithography (STL) models. Design/methodology/approach The proposed method consists of two stages. In the first stage, the STL model is sliced with constant layer thickness, where an improved algorithm for generating active triangular patches, the list is developed to preprocess the model faster. In the second stage, the model is first divided into several blocks according to the number of contours, then an axis-aligned bounding box-based contour matching algorithm and a polygons intersection algorithm are given to compare the geometric information between several successive layers, which will determine whether these layers can be merged to one. Findings Several benchmarks are applied to verify this new method. Developed method has also been compared with the uniform slicing method and two existing adaptive slicing methods to demonstrate its effectiveness in slicing. Originality/value Compared with other methods, the method leads to fewer layers whilst keeping the geometric error within a given threshold. It demonstrates that the proposed slicing method can reach a trade-off between the building time and the surface quality.
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。
推荐
暂无数据