Evidence map›Paper›PMID 41034609›Full record

ArticleScientific reports2025

Influence of geometry, reinforcement, and sterilisation on the dimensional accuracy of additively manufactured carbon fibre-reinforced nylon composites.

Giles Michael Cheers, A Goodwin, A Heede, J Milite, M Johnston, A Morris, M-L Wille, J P Little, Sinduja Suresh

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

9 authors.

Giles Michael CheersDepartment of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), LMU University Hospital, Munich, Germany. giles.cheers@qut.edu.au.
A GoodwinCentre for Biomedical Technologies, Queensland University of Technology, Brisbane, Australia.
A HeedeStryker Trauma GmbH, Schoenkirchen, Germany.
J MiliteStryker Trauma GmbH, Schoenkirchen, Germany.
M JohnstonAdditive Manufacturing Facility, Queensland University of Technology, Brisbane, Australia.
A MorrisDesign and Fabrication Research Facility, Queensland University of Technology, Brisbane, QLD, Australia.
M-L WilleCentre for Biomedical Technologies, Queensland University of Technology, Brisbane, Australia.
J P LittleCentre for Biomedical Technologies, Queensland University of Technology, Brisbane, Australia.
Sinduja SureshCentre for Biomedical Technologies, Queensland University of Technology, Brisbane, Australia. s.suresh@qut.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dimensional accuracy is a critical quality metric in manufacturing, particularly for medical devices subjected to sterilisation and disinfection. While additive manufacturing (AM), especially fused filament fabrication (FFF), facilitates the production of complex geometries, challenges such as void formation, surface deformation, and mechanical instability persist. This study evaluated the impact of sterilisation (autoclaving) and disinfection (ethanol) on the dimensional stability of 3D-printed carbon fibre-reinforced polymer (CFRP) parts. Two geometries - representing standard ASTM D3039 and complex non-standard designs - were printed using carbon fibre nylon-based composites with and without continuous carbon fibre (CCF) reinforcement. Dimensional accuracy and void fraction were assessed using micro-CT imaging and geometrical comparison analysis. While sterilisation (p = 0.247) and disinfection treatments (p > 0.05) had negligible overall effects on dimensional stability and void fraction, geometric design (p = 0.0036) and CCF inclusion (p = 0.0042) significantly influenced shape fidelity. The inclusion of CCF reinforcement enhanced resistance to deformation under external stressors, though its efficacy varied with design complexity. A significant interaction between geometry and CCF inclusion (p < 0.0001) demonstrated the dependency of void formation on design complexity and reinforcement. Additionally, maximum surface deviation was independently influenced by geometry (p = 0.0139) and CCF reinforcement (p = 1.1 × 10⁻⁴). This study highlights the strategic imperative of design optimisation and informed material selection to increase precision in additive manufacturing. By addressing the confluence of manufacturing constraints and stringent regulatory mandates, this research reinforces the viability of additive manufacturing for medical device fabrication, advocating for customised methodologies to harmonise functionality with compliance requirements.

Indexed as

Additive manufacturingContinuous fibre reinforced polymersDimensional accuracyMedical devicesQuality management systems

Identifiers

PMID41034609
PMCPMC12489055

What OpenQuestion holds

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LicenceCC BY
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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.