The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Clever Support: Efficient Support Structure Generation for Digital Fabrication
Abstract
We introduce an optimization framework for the reduction of support structures required by 3D printers based on Fused Deposition Modeling (FDM) technology. The printers need to connect overhangs with the lower parts of the object or the ground in order to print them. Since the support material needs to be printed first and discarded later, optimizing its volume can lead to material and printing time savings. We present a novel, geometry‐based approach that minimizes the support material while providing sufficient support. Using our approach, the input 3D model is first oriented into a position with minimal area that requires support. Then the points in this area that require support are detected. For these points the supporting structure is progressively built while attempting to minimize the overall length of the support structure. The resulting structure has a tree‐like shape that effectively supports the overhangs. We have tested our algorithm on the MakerBot® Replicator™ 2 printer and we compared our solution to the embedded software solution in this printer and to Autodesk® Meshmixer™ software. Our solution reduced printing time by an average of 29.4% (ranging from 13.9% to 49.5%) and the amount of material by 40.5% (ranging from 24.5% to 68.1%).
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Cites
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Make it stand: balancing shapes for 3D fabrication
Prévost, R., Whiting, E., Lefebvre, S., & Sorkine-Hornung, O. (2013) · ACM Transactions on Graphics · doi:10.1145/2461912.2461957 · Cited by 289
Cost-effective printing of 3D objects with skin-frame structures
Wang, W., Wang, T. Y., Yang, Z., et al. (2013) · ACM Transactions on Graphics · doi:10.1145/2508363.2508382 · Cited by 252
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Cross-sectional structural analysis for 3D printing optimization
Umetani, N., & Schmidt, R. (2013) · SIGGRAPH Asia Technical Briefs · doi:10.1145/2542355.2542361 · Cited by 131
Voxel-Based Assessment of Printability of 3D Shapes
Telea, A. C., & Jalba, A. C. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-21569-8_34 · Cited by 65
Cited by
The status, challenges, and future of additive manufacturing in engineering
Gao, W., Zhang, Y., Ramanujan, D., Ramani, K., Chen, Y., Williams, C. B., Wang, C. C. L., Shin, Y. C., Zhang, S., & Zavattieri, P. D. (2015) · Computer-Aided Design · doi:10.1016/j.cad.2015.04.001 · Cited by 2,631
Current and future trends in topology optimization for additive manufacturing
Liu, J., Gaynor, A. T., Chen, S., Kang, Z., Suresh, K., Takezawa, A., Li, L., Kato, J., Tang, J., Wang, C. C. L., et al. (2018) · Structural and Multidisciplinary Optimization · doi:10.1007/s00158-018-1994-3 · Cited by 870
Support Structures for Additive Manufacturing: A Review
Jiang, J., Xu, X., & Stringer, J. (2018) · Journal of Manufacturing and Materials Processing · doi:10.3390/jmmp2040064 · Cited by 527
From Topology Optimization Design to Additive Manufacturing: Today’s Success and Tomorrow’s Roadmap
Meng, L., Zhang, W., Quan, D., Shi, G., Tang, L., Hou, Y., Breitkopf, P., Zhu, J., & Gao, T. (2020) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-019-09331-1 · Cited by 402
Surfel convolutional neural network for support detection in additive manufacturing
Huang, J., Kwok, T.-H., Zhou, C., & Xu, W. (2019) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-019-03792-1 · Cited by 26
Metadata
- Authors
- Vanek, J., Galicia, J. A. G., & Benes, B.
- Venue
- Computer Graphics Forum
- Publisher
- Wiley
- Published
- 2014-08
- Volume
- 33
- Issue
- 5
- Pages
- 117-125
- ISSN
- 0167-7055 (ISSN-L)
- 1467-8659
- OpenAlex
- W2039850053
- Cited by
- 268
- References
- 9
- FWCI
- 22.88
- Type
- journal article
- Language
- en
- Open access
- closed
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- Vanek, J., Galicia, J. A. G., & Benes, B. (2014). Clever Support: Efficient Support Structure Generation for Digital Fabrication. Computer Graphics Forum. https://doi.org/10.1111/cgf.12437
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
