Curve-Based Slicer for Multi-Axis DLP 3D Printing

This paper introduces a novel curve-based slicing method for generating planar layers with dynamically varying orientations in digital light processing (DLP) 3D printing. Our approach effectively addresses key challenges in DLP printing, such as regions with large overhangs and staircase artifacts, while preserving its intrinsic advantages of high resolution and fast printing speeds. We formulate the slicing problem as an optimization task, in which parametric curves are computed to define both the slicing layers and the model partitioning through their tangent planes. These curves inherently define motion trajectories for the build platform and can be optimized to meet critical manufacturing objectives, including collision-free motion and floating-free deposition. We validate our method through physical experiments on a robotic multi-axis DLP printing setup, demonstrating that the optimized curves can robustly guide smooth, high-quality fabrication of complex geometries.

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Publication Details

Journal
ACM Transactions on Graphics
Published
2025-12-01
DOI
https://doi.org/10.1145/3763352
Citations
1
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
0.71
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article

Curve-Based Slicer for Multi-Axis DLP 3D Printing

Dezhao Guo, Guoxin Fang, Charlie C. L. Wang, Yeung Yam et al.
1 citations
ACM Transactions on Graphics
Advanced Materials and Mechanics
0.71
article

Curve-Based Slicer for Multi-Axis DLP 3D Printing

Dezhao Guo, Guoxin Fang, Charlie C. L. Wang, Yeung Yam, Tao Liu, Chengkai Dai, Bingmei Sun
article en
1 citations

Abstract

This paper introduces a novel curve-based slicing method for generating planar layers with dynamically varying orientations in digital light processing (DLP) 3D printing. Our approach effectively addresses key challenges in DLP printing, such as regions with large overhangs and staircase artifacts, while preserving its intrinsic advantages of high resolution and fast printing speeds. We formulate the slicing problem as an optimization task, in which parametric curves are computed to define both the slicing layers and the model partitioning through their tangent planes. These curves inherently define motion trajectories for the build platform and can be optimized to meet critical manufacturing objectives, including collision-free motion and floating-free deposition. We validate our method through physical experiments on a robotic multi-axis DLP printing setup, demonstrating that the optimized curves can robustly guide smooth, high-quality fabrication of complex geometries.

ACM Transactions on GraphicsVol. 44(6)
Chinese University of Hong Kong (HK), University of Manchester (GB)
Openalex Percentile: Top 24%
Advanced Materials and Mechanics
0.71
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