Fabrication oriented shape decomposition using polycube mapping

•Pros and cons of addictive and subtractive manufacturing are analysed.•Polycube-based computationally light subdivision for fabrication are proposed.•The decomposition is already suitable for Addictive fabrication (3D printers).•The decomposition is analyzed in terms of 3-axis and 4-axis fabricabil...

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Bibliographic Details
Published in:Computers & graphics 2018-12, Vol.77, p.183-193
Main Authors: Fanni, Filippo A., Cherchi, Gianmarco, Muntoni, Alessandro, Tola, Alessandro, Scateni, Riccardo
Format: Article
Language:English
Subjects:
3D Meshes
Additive manufacturing
Decomposition
Fabrication
Geometry Processing
Graph algorithms
Mapping
Partitioning
Partitions
Polycubes
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Summary:•Pros and cons of addictive and subtractive manufacturing are analysed.•Polycube-based computationally light subdivision for fabrication are proposed.•The decomposition is already suitable for Addictive fabrication (3D printers).•The decomposition is analyzed in terms of 3-axis and 4-axis fabricability. [Display omitted] In recent years, fabrication technologies have developed at a breakneck pace. However, some limitations on shape and dimension still apply both to additive and subtractive manufacturing, and one way to bypass them could be the partition of the object to build. We present here a novel algorithm, based on the polycube representation of the original shape, able to decompose any model into smaller parts simpler to fabricate. We first map the shape in a polycube and, then, split it to take advantage of the polycube partitioning. In this way, we obtain quite easily a partition of the model. In this work we also study and analyze pros and cons of this partitioning scheme for fabrication, when using both the additive and subtractive pipelines. Our proposed partitioning scheme is computationally light, and it produces high-grade results, especially when applied to models that we can map onto polycubes with a high compactness value.
ISSN:0097-8493
1873-7684
DOI:10.1016/j.cag.2018.10.010