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Tribological performance of 3D printed neat and carbon fiber reinforced PEEK composites
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements. Institute of Functional Surfaces, School of Mechanical Engineering, University of Leeds, LS2 9JT Leeds, United Kingdom.ORCID iD: 0000-0002-9346-7229
Institute of Functional Surfaces, School of Mechanical Engineering, University of Leeds, LS2 9JT Leeds, United Kingdom.
Institute of Functional Surfaces, School of Mechanical Engineering, University of Leeds, LS2 9JT Leeds, United Kingdom.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.ORCID iD: 0000-0001-8676-8819
2024 (English)In: Tribology International, ISSN 0301-679X, E-ISSN 1879-2464, Vol. 193, article id 109356Article in journal (Refereed) Published
Abstract [en]

This work investigates the tribological behavior of neat and carbon fiber-reinforced polyether-ether-ketone (PEEK) materials processed using the fused filament fabrication (FFF) technique. The reciprocating sliding behavior of printed polymers against stainless steel (SS) under dry and water-lubricated conditions was studied. The running-in behavior and evolution of friction were dependent on the material combination and sliding conditions. PEEK reinforced with 10 wt% carbon fibers was optimal considering tribological performance. Neat PEEK exhibited a combination of abrasive and adhesive wear mechanisms, while composites primarily showed fiber-matrix debonding and delamination during sliding. The outcome of this work has significance in improving the processing design of PEEK-based materials in extrusion-based 3D printing for tribological applications.

Place, publisher, year, edition, pages
2024. Vol. 193, article id 109356
Keywords [en]
3D printing, Tribology, Polymer composites, PEEK, Friction and wear, Dry sliding, Water lubrication
National Category
Tribology (Interacting Surfaces including Friction, Lubrication and Wear)
Research subject
Machine Elements
Identifiers
URN: urn:nbn:se:ltu:diva-104347DOI: 10.1016/j.triboint.2024.109356Scopus ID: 2-s2.0-85183995970OAI: oai:DiVA.org:ltu-104347DiVA, id: diva2:1839653
Funder
EU, Horizon 2020, 860246
Note

Validerad;2024;Nivå 2;2024-02-21 (signyg);

Full text license: CC BY

Available from: 2024-02-21 Created: 2024-02-21 Last updated: 2024-04-19Bibliographically approved

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Dhakal, NayanEmami, Nazanin

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