Chopper
- 1 November 2012
- journal article
- research article
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Graphics
- Vol. 31 (6), 1-9
- https://doi.org/10.1145/2366145.2366148
Abstract
3D printing technology is rapidly maturing and becoming ubiquitous. One of the remaining obstacles to wide-scale adoption is that the object to be printed must fit into the working volume of the 3D printer. We propose a framework, called Chopper, to decompose a large 3D object into smaller parts so that each part fits into the printing volume. These parts can then be assembled to form the original object. We formulate a number of desirable criteria for the partition, including assemblability, having few components, unobtrusiveness of the seams, and structural soundness. Chopper optimizes these criteria and generates a partition either automatically or with user guidance. Our prototype outputs the final decomposed parts with customized connectors on the interfaces. We demonstrate the effectiveness of Chopper on a variety of non-trivial real-world objects.Keywords
Funding Information
- Division of Information and Intelligent Systems (CCF-1012147IIS-1116296)
- Division of Computing and Communication Foundations (CCF-1012147IIS-1116296)
This publication has 26 references indexed in Scilit:
- Making burr puzzles from 3D modelsACM Transactions on Graphics, 2011
- Sensitive couture for interactive garment modeling and editingACM Transactions on Graphics, 2011
- Converting 3D furniture models to fabricatable parts and connectorsACM Transactions on Graphics, 2011
- An efficient curvature‐based partitioning of large‐scale STL modelsRapid Prototyping Journal, 2011
- A benchmark for 3D mesh segmentationACM Transactions on Graphics, 2009
- Translational packing of arbitrary polytopesComputational Geometry, 2009
- A survey on Mesh Segmentation TechniquesComputer Graphics Forum, 2008
- Covering a square of side n+ε with unit squaresJournal of Combinatorial Theory, Series A, 2006
- Optimum part deposition orientation in fused deposition modelingInternational Journal of Machine Tools and Manufacture, 2004
- Optimization by Simulated AnnealingScience, 1983