Support-free volume printing by multi-axis motion

Journal Article (2018)
Author(s)

Chengkai Dai (TU Delft - Materials and Manufacturing)

Charlie C.L. Wang (TU Delft - Materials and Manufacturing)

Chenming Wu (Tsinghua University)

Sylvain Lefebre (Institut National de Recherche en Informatique et en Automatique (INRIA))

Guoxin Fang (TU Delft - Materials and Manufacturing)

Yong-Jin Liu (Tsinghua University)

DOI related publication
https://doi.org/10.1145/3197517.3201342 Final published version
More Info
expand_more
Publication Year
2018
Language
English
Bibliographical Note
Accepted author manuscript
Journal title
ACM Transactions on Graphics
Issue number
4
Volume number
37
Article number
134
Pages (from-to)
1-14
Downloads counter
650
Collections
Institutional Repository
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This paper presents a new method to fabricate 3D models on a robotic printing system equipped with multi-axis motion. Materials are accumulated inside the volume along curved tool-paths so that the need of supporting structures can be tremendously reduced - if not completely abandoned - on all models. Our strategy to tackle the challenge of tool-path planning for multi-axis 3D printing is to perform two successive decompositions, first volume-to-surfaces and then surfaces-to-curves. The volume-to-surfaces decomposition is achieved by optimizing a scalar field within the volume that represents the fabrication sequence. The field is constrained such that its isovalues represent curved layers that are supported from below, and present a convex surface affording for collision-free navigation of the printer head. After extracting all curved layers, the surfaces-to-curves decomposition covers them with tool-paths while taking into account constraints from the robotic printing system. Our method successfully generates tool-paths for 3D printing models with large overhangs and high-genus topology. We fabricated several challenging cases on our robotic platform to verify and demonstrate its capabilities.

Files

License info not available