Evidence map›Paper›PMID 42653619›Full record

ArticleMicromachines2026

Additive Manufacturing of Polyamide-6 Preforms for Scalable Thermal Drawing of Structured Fibers.

Akila Bandara, Ahmed Moustafa Abd-El Nabi, Luka Morita, Dan Sameoto

Abstract read
In one paragraph

Article in Micromachines, 2026. 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

4 authors.

Akila BandaraDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada.ORCID 0009-0005-9871-5403
Ahmed Moustafa Abd-El NabiDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada.ORCID 0000-0001-5987-0906
Luka MoritaDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada.
Dan SameotoDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada.ORCID 0000-0003-4879-2935

Funding

Natural Sciences and Engineering Research Council of Canada NFRFT-2024-00282
6 · The paper itself

Abstract

Thermal drawing is a prominent, scalable method for transforming preforms with complex macroscopic morphologies into multifunctional microscopic fibers. With the intent to develop fibers with complex cross-sections for potential integration in soft robotics, smart textile and fabric applications, we explore the potential of polyamide-6 (PA6) as a base material for thermal drawing. By implementing Fused Deposition Modeling (FDM), we additively manufactured PA6 preforms with solid circular and three-channel cross-sectional architectures. These preforms were then utilized in a series of thermal drawing experiments to identify the best-performing printing layer thickness and channel aspect ratio (AR) that consistently yielded scalable, microscopic fiber diameters over extended durations. Our results demonstrate that a printing layer thickness of 0.3 mm yielded the most consistent drawn fiber diameters for extended durations among the tested values. Additionally, AR experiments indicate that the intermediate ARs of 0.4 and 0.5 between the inner channel diameter and the outer diameter produce the most promising results within the investigated range, based on dimensional trends and qualitative observations of internal channel integrity.

Indexed as

3D printingadditive manufacturingFDMFused Deposition ModelingPA6polyamide-6smart fabricssmart fiberssmart textilessoft roboticsthermal drawing

Identifiers

PMID42653619
PMCPMC13515985

What OpenQuestion holds

Textmetadata
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.