Automated topography slicing for support-free 3-axis FDM

Abstract Support-free fabrication of geometries with extended overhangs remains a fundamental challenge in non-planar fused deposition modeling (FDM), as conventional 3-axis printers cannot reorient the nozzle to maintain favorable deposition angles. To overcome this limitation, this work proposes a novel method called automated topography slicing. The proposed pipeline performs automatic overhang detection, top-down boolean model cutting, heightmap-driven deformation-field generation, geometry warping, slicing, and inverse G-code reconstruction in a fully automated manner without requiring additional hardware or multi-axis kinematics. Experimental validation on a benchmark Tube Bracket and two additional geometries (Stanford Bunny and Elbow Junction Tube) demonstrates generality across free-form and slender features and confirms print feasibility and extrusion stability using an off-the-shelf 3-axis FDM printer. Across three geometries, the method consistently reduces support material with predictable dimensional trade-offs. High-resolution optical measurements, including full-field geometric deviation mapping, Geometric Dimensioning and Tolerancing (GD&T) evaluation, and surface roughness analysis, reveal that the reverse-mapped G-code accurately preserves the intended geometry, while observed deviations on large unsupported regions are primarily attributable to thermo-mechanical warping during material deposition. These findings delineate the boundary between algorithmic accuracy and process-induced deformation and motivate future extensions that incorporate feedback-driven or compensation-based strategies to further improve dimensional fidelity. Overall, this work establishes a practical, measurement-informed foundation for support-free, deformation-based additive manufacturing on standard 3-axis FDM systems.

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Publication Details

Journal
The International Journal of Advanced Manufacturing Technology
Published
2026-07-30
DOI
https://doi.org/10.1007/s00170-026-18768-1
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
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article

Automated topography slicing for support-free 3-axis FDM

Markus Bambach�, Michael R. Tucker, Michael Wüthrich, Joshua Nti
The International Journal of Advanced Manufacturing Technology
Additive Manufacturing and 3D Printing Technologies
article

Automated topography slicing for support-free 3-axis FDM

Markus Bambach�, Michael R. Tucker, Michael Wüthrich, Joshua Nti
article en

Abstract

Abstract Support-free fabrication of geometries with extended overhangs remains a fundamental challenge in non-planar fused deposition modeling (FDM), as conventional 3-axis printers cannot reorient the nozzle to maintain favorable deposition angles. To overcome this limitation, this work proposes a novel method called automated topography slicing. The proposed pipeline performs automatic overhang detection, top-down boolean model cutting, heightmap-driven deformation-field generation, geometry warping, slicing, and inverse G-code reconstruction in a fully automated manner without requiring additional hardware or multi-axis kinematics. Experimental validation on a benchmark Tube Bracket and two additional geometries (Stanford Bunny and Elbow Junction Tube) demonstrates generality across free-form and slender features and confirms print feasibility and extrusion stability using an off-the-shelf 3-axis FDM printer. Across three geometries, the method consistently reduces support material with predictable dimensional trade-offs. High-resolution optical measurements, including full-field geometric deviation mapping, Geometric Dimensioning and Tolerancing (GD&T) evaluation, and surface roughness analysis, reveal that the reverse-mapped G-code accurately preserves the intended geometry, while observed deviations on large unsupported regions are primarily attributable to thermo-mechanical warping during material deposition. These findings delineate the boundary between algorithmic accuracy and process-induced deformation and motivate future extensions that incorporate feedback-driven or compensation-based strategies to further improve dimensional fidelity. Overall, this work establishes a practical, measurement-informed foundation for support-free, deformation-based additive manufacturing on standard 3-axis FDM systems.

The International Journal of Advanced Manufacturing Technology
ZHAW Zurich University of Applied Sciences (CH), ETH Zurich (CH), Ashesi University (GH)
Openalex Percentile: Top 16%
Additive Manufacturing and 3D Printing Technologies
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