Back to Wiki

[82] A LARGE SCALE 3D PRINTING METHOD FOR SKELETONIZED SURFACES BASED ON GRAPH THEORY

Seed Paper Seed Paper (General / Unclassified) 2023

Paper Description extracted from PDF · abstract · 132 words

For large-scale Additive manufacturing, while manufacturing thin nonplanar components by printing contours, the printing direction is often perpendicular to the surface, so the components cannot have complex topological features. At the same time, large-scale additive manufacturing is difficult to achieve skeletonized patterns due to the nozzle size and material limitations. Most of the existing printing methods for skeletonized structure use the level set method, which is difficult to adapt to thin shells. This paper introduces a new printing method for 3D printing skeletonized surfaces. The method uses a graph-theoretic approach to plan the printing path, combining the size of the nozzle and the structure of the surface, to enable the printing of surfaces with complex topological features. A 3D printing case is used to verify and prove the practicality of the method.

AuthorsXinjie Zhou and Lei Gong and Philip F. Yuan
Year2023
VenueProceedings of the International Conference on Computer-Aided Architectural Design Research in Asia
DOI10.52842/CONF.CAADRIA.2023.2.221
Source DatabaseSeed (CumInCAD)
Bridge-to-GNNCategory Seed
GNN ArchitectureGNN (heuristic — verify)
Graph EncodingNot yet extracted from PDF
AEC TaskNot yet extracted from PDF
CohortConsolidation (2023)

Extracted Methodology heuristic — verify before citing

Implementation FrameworkGrasshopper / Rhino (heuristic — verify)
Primary MetricAccuracy (heuristic — verify)
Key Findingnew printing method for 3D printing skeletonized surfaces (heuristic — verify)
Quality Assessment1/6 · rigor: Low ·
Baseline: ✓ (heuristic — verify)

Detected Technical Stack auto-detected from PDF · regex catalogue match

GNN architectures detectedKnowledge Graph Embedding (TransE/RotatE/DistMult)
Frameworks / librariesGrasshopper / Rhino
Quality (heuristic, 6-flag)0/6 · rigor: Low
Code/Data: —Benchmark: —Baseline: —CV/Split: —Ablation: —Reproducible: —

Lineage Families

None assigned

Enabled By / Precursors

None tracked

Extended By

None in corpus

Infrastructure Dependencies

BIM (auto-suggested) Grasshopper / Rhino (detected from PDF)

Research Frontier Tags

graph-ml-aec

Part of the GML/GNN in AEC Systematic Review (PRISMA 2020) — 112 papers, 2020–2026