Evidence map›Paper›PMID 35744450›Full record

ArticleMicromachines2022

Adaptive Layering Algorithm for FDM-3D Printing Based on Optimal Volume Error.

Ning Lv, Xuefeng Ouyang, Yujing Qiao

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

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

Funding

Yangzhou City, 2021. Leading talents of "Green Yang Jinfeng project" (Innovation in Colleges and Universities) YZLYJFJH2021CX044
6 · The paper itself

Abstract

The characteristics of fused deposition 3D printing lead to the inevitable step effect of surface contour in the process of forming and manufacturing, which affects molding accuracy. Traditional layering algorithms cannot take into account both printing time and molding accuracy. In this paper, an adaptive layering algorithm based on the optimal volume error is proposed. The angle between the normal vector and the layering direction is used for data optimization. The layer thickness is determined by calculating the volume error, and based on the principle of the optimal volume error, the unequal thickness adaptive layering of each printing layer of the model is realized. The experimental results show that the self-adaptive layering algorithm based on the optimal volume error has a better layering effect, greatly improves the forming efficiency and surface forming accuracy, and has a good adaptability to models with complex surfaces.

Indexed as

3D printingadaptive layeringfused deposition modelingoptimal volume errorstep effect

Identifiers

PMID35744450
PMCPMC9231067

What OpenQuestion holds

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Registered trials

None linked

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.