Evidence map›Paper›PMID 35956643›Full record

ArticlePolymers2022

Influence of Printing Parameters on Self-Cleaning Properties of 3D Printed Polymeric Fabrics.

Ayat Adnan Atwah, Mohammed Dukhi Almutairi, Feiyang He, Muhammad A Khan

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. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Ayat Adnan AtwahCollege of Designs and Arts, Umm Al-Qura University, Al Taif Road, P.O. Box 715, Mecca 21955, Saudi Arabia.
Mohammed Dukhi AlmutairiSchool of Aerospace, Transport, and Manufacturing, Cranfield University, Cranfield MK43 0AL, UK.
Feiyang HeSchool of Aerospace, Transport, and Manufacturing, Cranfield University, Cranfield MK43 0AL, UK.
Muhammad A KhanSchool of Aerospace, Transport, and Manufacturing, Cranfield University, Cranfield MK43 0AL, UK.ORCID 0000-0001-9028-1288

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The processes for making self-cleaning textile fabrics have been extensively discussed in the literature. However, the exploration of the potential for self-cleaning by controlling the fabrication parameters of the fabric at the microscopic level has not been addressed. The current evolution in 3D printing technology provides an opportunity to control parameters during fabric manufacturing and generate self-cleaning features at the woven structural level. Fabrication of 3D printed textile fabrics using the low-cost fused filament fabrication (FFF) technique has been achieved. Printing parameters such as orientation angle, layer height, and extruder width were used to control self-cleaning microscopic features in the printed fabrics. Self-cleaning features such as surface roughness, wettability contact angle, and porosity were analyzed for different values of printing parameters. The combination of three printing parameters was adjusted to provide the best self-cleaning textile fabric surface: layer height (LH) (0.15, 0.13, 0.10 mm) and extruder width (EW) (0.5, 0.4, 0.3 mm) along with two different angular printing orientations (O) (45° and 90°). Three different thermoplastic flexible filaments printing materials were used: thermoplastic polyurethane (TPU 98A), thermoplastic elastomers (TPE felaflex), and thermoplastic co-polyester (TPC flex45). Self-cleaning properties were quantified using a pre-set defined criterion. The optimization of printing parameters was modeled to achieve the best self-cleaning features for the printed specimens.

Indexed as

3D printingmicroscopic featuresprinting parametersself-cleaning fabricthermoplastic co-polyester (TPC flex45)thermoplastic elastomers (TPE felaflex)(TPU 98A)

Identifiers

PMID35956643
PMCPMC9371245

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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.