2011
DOI: 10.1016/j.cad.2011.06.007
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Efficient slicing procedure based on adaptive layer depth normal image

Abstract:  An efficient construction algorithm for RP layered model is proposed based on LDNI.  Solid is converted into LDNI representation which is a layered and ordered point cloud.  Boolean operation is performed on 1D segment in LDNI.  Loops are constructed according to three simple rules.  Mesh with 2 million triangles can be sliced in 2.5 seconds.

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Cited by 34 publications
(18 citation statements)
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References 26 publications
(23 reference statements)
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“…Surface roughness of the rapid prototypes can be improved by chemical method [2, 3], mechanical method [4][5][6][7], and mathematical method [8][9][10][11][12][13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…Surface roughness of the rapid prototypes can be improved by chemical method [2, 3], mechanical method [4][5][6][7], and mathematical method [8][9][10][11][12][13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…Experiment results in Tab. 1 demonstrate that this slicing algorithm can achieve higher accuracy than Zeng's work [19] during the same period of time. Moreover, this work took 15% to 50% less time than Zeng's work to achieve the same accuracy, which means we have indeed achieved higher accuracy and better efficiency.…”
Section: Discussionmentioning
confidence: 91%
“…Previous work by Zeng et al [19] (denoted as Zeng's work in the sections below) proposed an efficient slicing method that speeded up the layer decomposition of the STL model by adopting a onedimensional LDNI sampling [18], which is independent of the geometric complexity or mesh density. The loop construction algorithm is then applied to the generated layered point model.…”
Section: Introductionmentioning
confidence: 99%
“…The hybrid PN parametric surface scheme: Models are tessellated to support processes such as rendering, machining, or even slicing as depicted in [29,30]. The tessellation is watertight and is generated implicitly without any special treatment.…”
Section: Summary Discussion and Examplesmentioning
confidence: 99%