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Efficient slicing procedure based on adaptive layer depth normal image

Authors Zeng, Long HKUST affiliated (currently or previously)
Lai, Man Lip HKUST affiliated (currently or previously)
Qi, Di HKUST affiliated (currently or previously)
Lai, Yuen Hoo HKUST affiliated (currently or previously)
Yuen, Matthew Ming Fai View this author's profile
Issue Date 2011
Source CAD Computer Aided Design , v. 43, (12), December 2011, p. 1577-1586
Summary In layered modeling for rapid prototyping of products, compromising slicing accuracy and time is a critical issue. Based on adaptive Layer Depth Normal Image (LDNI), this paper proposes an efficient algorithm to achieve this compromise for complex Constructive Solid Geometry (CSG) models. First, each primitive at the tree leaf is converted into an adaptive LDNI solid whose Boolean operation can be performed efficiently. Then, a layered model is constructed directly from the Booleaned LDNI solid since it is actually a set of a layered and ordered point cloud. In addition to speed, efficient use of memory is also taken into account in design of the LDNI-based slicing algorithm. The capability and efficiency of this slicing algorithm are demonstrated by examples. © 2011 Elsevier Ltd. All rights reserved.
ISSN 0010-4485
Rights Computer-Aided Design © 2011 Elsevier. The Journal's web site is located at
Language English
Format Article
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