An Efficient Slicing Algorithm for Asynchronous Linear Hotwire Cutting System of Expandable Polystyrene Foam
| Periodical | Key Engineering Materials (Volume 464) |
|---|---|
| Main Theme | Functional Manufacturing Technologies and Ceeusro II |
| Edited by | Long Chen, Yongkang Zhang, Aixing Feng, Zhenying Xu, Boquan Li and Han Shen |
| Pages | 199-203 |
| DOI | 10.4028/www.scientific.net/KEM.464.199 |
| Citation | Jing Bin Hao et al., 2011, Key Engineering Materials, 464, 199 |
| Online since | January, 2011 |
| Authors | Jing Bin Hao, Liang Fang, Jing Ya Wang |
| Keywords | Adaptive Slicing, Curvature-Based Partitioning, Expandable Polystyrene Foam, Hotwire Cutting, Rapid Prototyping (RP) |
| Price | US$ 28,- |
The asynchronous linear hotwire cutting (ALHC) system of expandable polystyrene (EPS) foam is a new rapid prototyping (RP) technology, which uses the asynchronous linear hotwire cutter and EPS foam to fabricate the part. The efficiency and capacity of ALHC system depends significantly on the pre-process of STL model. This paper presents an original algorithm for adaptively decomposing a STL model into a set of variable slices, which can be efficiently fabricated by ALHC system. A large complex model is first partitioned into several smaller and simpler sub-models by using the curvature-based partitioning. Then, these sub-models are sliced into layers with different thickness based on feature facets. Several experimental results demonstrate the reliability and efficiency of the slicing algorithm.
