Evidence map›Paper›PMID 35407791›Full record

ArticleMaterials (Basel, Switzerland)2022

A Process Parameter Design Method for Improving the Filament Diameter Accuracy of Extrusion 3D Printing.

Kaicheng Yu, Qiang Gao, Lihua Lu, Peng Zhang

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
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

4 citing papers in PubMed, 18 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Kaicheng YuSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China.
Qiang GaoSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China.
Lihua LuSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0002-0492-5321
Peng ZhangSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China.
Harbin Institute of Technology · CN

Funding

Interdisciplinary Research Foundation of HIT IR2021227Leading Wild Goose Program Scientific Research Project of Harbin Institute of Technology XNAUEA5640202220-07National Natural Science Foundation of China 52105439Natural Science Foundation Project of Chongqing cstc2021jcyj-msxmX0803
6 · The paper itself

Abstract

Process parameters have a significant impact on the filament diameter of extrusion 3D printing. To precisely control filament diameter, this paper proposes a novel method based on experiments to guide process parameter design. Additionally, an extrusion 3D printing device was developed, by which the influence of crucial process parameters and rheological properties on the diameter of printed filaments could be investigated experimentally and theoretically. Furthermore, poly (l-lactide-co-ε-caprolactone) (PLCL) was used as a case study to detail the design procedure of the proposed method. The printable range of the process parameters for PLCL was acquired, and a fitting surface for the experimental data was calculated to guide the process parameter design. According to the results of the experiment, by adjusting the process parameters, PLCL filaments with five different diameters of 120, 130, 140, 150, and 160 μm can be fabricated with a 100 μm nozzle. The deviations between the actual filament diameters and the desired diameter are less than 5 μm, which validates the reliability of the proposed method.

Indexed as

extrusion 3D printingfilament diameterprinting accuracyprocess parameterrheological property

Identifiers

PMID35407791
PMCPMC8999365
OpenAlexW4220661323

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.