Evidence map›Paper›PMID 33322322›Full record

ArticlePolymers2020

Detailed Thermal Characterization of Acrylonitrile Butadiene Styrene and Polylactic Acid Based Carbon Composites Used in Additive Manufacturing.

Zoltan Ujfalusi, Attila Pentek, Roland Told, Adam Schiffer, Miklos Nyitrai, Peter Maroti

Abstract read
In one paragraph

Article in Polymers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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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

6 authors.

Zoltan UjfalusiDepartment of Biophysics, Medical School, University of Pécs, Szigeti str. 12, H-7624 Pécs, Hungary.ORCID 0000-0001-5936-7286
Attila Pentek3D Printing and Visualization Centre, University of Pécs, Boszorkany str. 2, H-7624 Pécs, Hungary.
Roland Told3D Printing and Visualization Centre, University of Pécs, Boszorkany str. 2, H-7624 Pécs, Hungary.
Adam SchifferDepartment of Technical Informatics, Faculty of Engineering and Information Technology, University of Pécs, Boszorkany str. 2, H-7624 Pécs, Hungary.
Miklos NyitraiDepartment of Biophysics, Medical School, University of Pécs, Szigeti str. 12, H-7624 Pécs, Hungary.
Peter MarotiDepartment of Biophysics, Medical School, University of Pécs, Szigeti str. 12, H-7624 Pécs, Hungary.ORCID 0000-0001-7538-0675

Funding

Hungarian Government EFOP-3.6.1-16- 2016-00004Hungarian Government GINOP-2.3.2.-15-2016-00022Ministry of Innovation and Technology, Hungary Thematic Excellence Program 2020 -- National Excellence Sub-program; Biomedical Engineering Project ("2020-4.1.1-TKP2020University of Pecs, Medical School EFOP-3.6.3-VEKOP-16-2017-00009
6 · The paper itself

Abstract

Currently, 3D printing is an affordable technology for industry, healthcare, and individuals. Understanding the mechanical properties and thermoplastic behaviour of the composites is critical for the users. Our results give guidance for certain target groups including professionals in the field of additive manufacturing for biomedical components with in-depth characterisation of the examined commercially available ABS and PLA carbon-based composites. The study aimed to characterize these materials in terms of thermal behaviour and structure. The result of the heating-cooling loops is the thermal hysteresis effect of Ohmic resistance with its accommodation property in the temperature range of 20-84 °C for ESD-ABS and 20-72 °C for ESD-PLA. DSC-TGA measurements showed that the carbon content of the examined ESD samples is ~10-20% (

Indexed as

ABSadditive manufacturingbiomedical sensorscarboncompositeDSCPLAresistancethermogravimetry

Identifiers

PMID33322322
PMCPMC7764123

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.