Support-Free 3D Printing Based on Model Decomposition.

Xingguo Han, Qijin Qin, Shizheng Chen, Xuan Liu, Lixiu Cui

Abstract read

In one paragraph

Article in Micromachines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Xingguo HanSchool of Mechanical Engineering, Guangxi University, Nanning 530004, China.

Qijin QinSchool of Mechanical Engineering, Guangxi University, Nanning 530004, China.

Shizheng ChenSchool of Mechanical Engineering, Guangxi University, Nanning 530004, China.

Xuan LiuGuangxi Key Laboratory of Special Engineering Equipment and Control, Guilin 541004, China.

Lixiu CuiSchool of Foreign Language and International Bussiness, Guilin University of Aerospace Technology, Guilin 541004, China.

Funding

Guangxi Key Research and Development Project 2024AB33018Guangxi Nature Science Foundation 2024GXNSFAA010338GUAT Special Research on the Strategic Development of Distinctive Interdisciplinary Fields TS2024121the National Natural Science Foundation of China 52365043

6 · The paper itself

Abstract

In traditional fixed-direction 3D printing, complex geometric models require support structures for large overhanging regions, leading to difficulties in removal, surface damage, and material waste. This study proposes a model decomposition algorithm for multi-axis 3D printing, aiming to divide the model into sub-regions requiring no or minimal support, which are printed sequentially via intermittent rotation of the print platform using a multi-DOF 3D printing device. Our algorithm employs a heuristic optimization method to minimize overhanging area and decomposition steps, leveraging Pareto multi-objective optimization to compute the Pareto front and adopting a beam search strategy to generate decomposition sequences. Decomposition and printing experiments on complex models demonstrate the method's effectiveness in significantly reducing computational time, support requirements, and material costs while improving printing efficiency, enabling effective support-free multi-axis 3D printing.

Indexed as

3D printingadditive manufacturingsupport-freevolume decomposition

Identifiers

PMID41470483

DOI10.3390/mi16121316

PMCPMC12735000

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.