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Please use this identifier to cite or link to this item:
http://hdl.handle.net/1783.1/7161
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| Title: | Efficient slicing procedure based on adaptive layer depth normal image |
| Authors: | Zeng, Long
Lai, Lip Man-Lip
Qi, Di
Lai, Yuen-Hoo
Yuen, Matthew Ming-Fai |
| Keywords: | Rapid prototypes
Layer manufacturing
Layer depth normal image
Constructive solid geometry |
| Issue Date: | Mar-2011 |
| Citation: | Computer-aided design, Article in Press, Accepted Manuscript. |
| Abstract: | 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 adaptively into a 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 layered and ordered point cloud. In addition to speed, efficient use of memory is also taken into account in design of the adaptive LDNI algorithm. The capability and efficiency of this slicing algorithm are demonstrated by examples. |
| Rights: | Computer-Aided Design © 2011 Elsevier. The Journal's web site is located at http://www.sciencedirect.com/ |
| URI: | http://hdl.handle.net/1783.1/7161 |
| Appears in Collections: | MECH Journal/Magazine Articles
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| sdarticle.pdf | pre-published version | 1269Kb | Adobe PDF | View/Open |
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