Abstract | ||
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ABSTRACT4D printing encodes self-actuating deformation during the printing process, such that objects can be fabricated flat and then transformed into target 3D shapes. While many flattening algorithms have been introduced for 4D printing, a general method customized for FDM (Fused-Deposition Modeling) printing method is lacking. In this work, we vary both the printing direction and local layer thickness; and extend the shape space to continuous-height-field surfaces without the requirement of symmetry. We introduce an end-to-end tool that enables an initially flat sheet to self-transform into the input height field. The tool first flattens the height field into a 2D layout with stress information using a geometry-based optimization algorithm, then computes printing tool paths with a path planning algorithm. Although FDM printing is the fabrication method in this work, our approach can be applied to most extrusion-based printing methods in theory. The results exemplify how the tool broadens the capabilities of 4D printing with an expanded shape space, a low-cost but precise coloring technique, and an intuitive design process. |
Year | DOI | Venue |
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2020 | 10.1145/3424630.3425420 | SIGGRAPH |
Keywords | DocType | Citations |
Design tool,Inverse,Computer vision,Materials science,Artificial intelligence,Color texture | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 10 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jianzhe Gu | 1 | 10 | 5.65 |
Vidya Priyadarshini Narayanan | 2 | 5 | 1.79 |
Guanyun Wang | 3 | 83 | 19.25 |
Danli Luo | 4 | 0 | 2.37 |
Harshika Jain | 5 | 0 | 0.68 |
Kexin Lu | 6 | 0 | 0.68 |
Fang Qin | 7 | 0 | 0.34 |
Sijia Wang | 8 | 0 | 0.68 |
James McCann | 9 | 345 | 23.78 |
Lining Yao | 10 | 251 | 31.54 |