Evidence map›Paper›PMID 35566888›Full record

ArticlePolymers2022

Theoretical, Numerical and Experimental Assessment of Temperature Response in Polylactic Acid and Acrylonitrile Butadiene Styrene Used in Additive Manufacturing.

Camen Ema Panaite, Andrei-Marius Mihalache, Oana Dodun, Laurențiu Slătineanu, Aristotel Popescu, Adelina Hrițuc, Gheorghe Nagîț

Abstract read
In one paragraph

Article in Polymers, 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

7 authors.

Camen Ema PanaiteDepartment of Mechanical Engineering and Road Automotive Engineering, "Gheorghe Asachi" Technical University of Iași, Blvd. D. Mangeron, 43, 700050 Iași, Romania.ORCID 0000-0001-5087-6295
Andrei-Marius MihalacheDepartment of Machine Manufacturing Technology, "Gheorghe Asachi" Technical University of Iaşi, Blvd. D. Mangeron, 59A, 700050 Iasi, Romania.ORCID 0000-0002-9078-785X
Oana DodunDepartment of Machine Manufacturing Technology, "Gheorghe Asachi" Technical University of Iaşi, Blvd. D. Mangeron, 59A, 700050 Iasi, Romania.ORCID 0000-0003-4047-3550
Laurențiu SlătineanuDepartment of Machine Manufacturing Technology, "Gheorghe Asachi" Technical University of Iaşi, Blvd. D. Mangeron, 59A, 700050 Iasi, Romania.ORCID 0000-0002-5976-9813
Aristotel PopescuDepartment of Mechanical Engineering and Road Automotive Engineering, "Gheorghe Asachi" Technical University of Iași, Blvd. D. Mangeron, 43, 700050 Iași, Romania.ORCID 0000-0002-5327-035X
Adelina HrițucDepartment of Machine Manufacturing Technology, "Gheorghe Asachi" Technical University of Iaşi, Blvd. D. Mangeron, 59A, 700050 Iasi, Romania.ORCID 0000-0003-3871-7800
Gheorghe NagîțDepartment of Mechanical Engineering and Road Automotive Engineering, "Gheorghe Asachi" Technical University of Iași, Blvd. D. Mangeron, 43, 700050 Iași, Romania.ORCID 0000-0001-9649-8525

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A better understanding of heat transfer through materials used for 3D-printed parts could lead to an extension and an optimization of their use. A topic of interest could be analyzing temperature variation in these materials during cooling processes. Experimental research and equipment were designed to obtain additional information on the surface temperature decrease when the opposite wall surface is exposed to a freezing temperature. Experimental tests were performed on samples made of polylactic acid (PLA) and acrylonitrile butadiene styrene (ABS). An experimental Taguchi L8 program was used, with seven independent variables at two levels of variation. The experimental data analysis with specialized software based on the least-squares method identified a mathematical model of first-degree polynomial type. The coefficients for each input factor involved provide information on the magnitude and trend of the considered output parameter when the input factors' values change. It was found that the thickness of the 3D printing layer, the thickness of the test sample, and the 3D printing speed are the main factors that affect the temperature decrease rate.

Indexed as

3D printingempirical mathematical modelexperimental Taguchi L8 programheat transferinfluencing factorspolymer materials

Identifiers

PMID35566888
PMCPMC9100762

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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.