Evidence map›Paper›PMID 36014184›Full record

ArticleMicromachines2022

Variable Density Filling Algorithm Based on Delaunay Triangulation.

Yujing Qiao, Ning Lv, Xuefeng Ouyang

Abstract read
In one paragraph

Article in Micromachines, 2022. 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yujing QiaoSchool of Mechanical Engineering, Yangzhou Polytechnic College, Yangzhou 225009, China.ORCID 0000-0002-1789-7286
Ning LvSchool of Mechanical Engineering, Yangzhou Polytechnic College, Yangzhou 225009, China.
Xuefeng OuyangSchool of Automation, Harbin University of Science and Technology, Harbin 150080, China.

Funding

Yangzhou City, 2021. Leading talents of "Green Yang Jinfeng project" (Innovation in Colleges and Universities) (Grant no. YZLYJFJH2021CX044). YZLYJFJH2021CX044
6 · The paper itself

Abstract

The quality of the filling algorithm in additive manufacturing directly affects the strength of the part. The commonly used 3D printing filling algorithm at this stage is the classic filling algorithm. The density of each part in the filling region is the same, and there is a cavity structure in the transverse direction, which makes the strength of the part in the transverse direction lower. Therefore, this paper proposed a new filling algorithm-variable density filling algorithm based on Delaunay triangulation. First, we performed concave-polygon-convex decomposition on the filling area to form printing sub-regions; then, the filling density value was set according to the required intensity of each region, and we used the Poisson disk sampling algorithm to generate the filling point set. Finally, Delaunay triangulation was performed on the generated point set to generate filled traces. The comparison with the two commonly used classical filling algorithms proves that the algorithm can improve the strength of the part to a certain extent, and the printing time and the consumption of consumables will not increase significantly.

Indexed as

3D printingconcave polygon convex decompositionDelaunay triangulationfill tracespoisson disk sampling

Identifiers

PMID36014184
PMCPMC9416083

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.