# Curve-based slicer for multi-axis DLP 3D printing

**Authors:** Chengkai Dai, Tao Liu, Dezhao Guo, Binzhi Sun, Guoxin Fang, Yeung Yam, Charlie C.L. Wang

arXiv: 2509.00040 · 2025-09-03

## TL;DR

This paper presents a curve-based slicing method for multi-axis DLP 3D printing that improves over traditional layer-based approaches by reducing artifacts and enabling complex geometries through optimized parametric curves.

## Contribution

It introduces a novel optimization-based curve slicing technique that dynamically varies layer orientations and guides multi-axis DLP printing for enhanced quality and complexity.

## Key findings

- Effective reduction of staircase artifacts.
- Robust guidance for complex geometries.
- Validation on robotic multi-axis DLP setup.

## 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.

## Full text

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## Figures

62 figures with captions in the complete paper: https://tomesphere.com/paper/2509.00040/full.md

## References

49 references — full list in the complete paper: https://tomesphere.com/paper/2509.00040/full.md

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Source: https://tomesphere.com/paper/2509.00040