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CuO nanosheets produced in graphene oxide solution: An excellent anti-wear additive for self-lubricating polymer composites
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements. State Key Laboratory of Materials-oriented Chemical Engineering, Nanjing Tech University.ORCID iD: 0000-0001-6137-5349
State Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, Nanjing .
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.ORCID iD: 0000-0002-8533-897x
Key Laboratory of Material and Chemical Engineering, Nanjing Tech University, Nanjing .
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2018 (English)In: Composites Science And Technology, ISSN 0266-3538, E-ISSN 1879-1050, Vol. 162, p. 86-92Article in journal (Refereed) Published
Abstract [en]

In the present work, graphene oxide is used as template to produce CuO nanosheets, which solves aggregation and dispersion problems of CuO nanosheets resulting in improved lubricating performance. SEM and AFM studies show that CuO nanosheets are present in fusiform flake shape with a thickness, width and length of around 13, 400 and 1000 nm, respectively. CuO nanosheets were added to the carbon fibers reinforced Polytetrafluoroethylene (CF/PTFE) to study their lubricating performance. It is interesting, from fractured surfaces of composites, to find that CuO nanosheets enhance the interface properties between carbon fibers and PTFE. The wear resistance property of CF/PTFE is remarkably improved after filling CuO nanosheets. For example, the wear rate is reduced by 51% after filling 1.5 wt % CuO nanosheets. The wear resistance improvement effect of CuO nanosheets is much better than that of commercial CuO nanogranules and CuO nanorods. Worn surfaces and counter-surfaces studying indicates that CuO nanosheets can not only prevent the rubbed-off of PTFE or the detachment of CF, but also improve the properties of transfer films, which greatly reduce the adhesive wear and abrasive wear.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 162, p. 86-92
National Category
Other Mechanical Engineering
Research subject
Machine Elements
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URN: urn:nbn:se:ltu:diva-68387DOI: 10.1016/j.compscitech.2018.04.020ISI: 000438180500010Scopus ID: 2-s2.0-85046114065OAI: oai:DiVA.org:ltu-68387DiVA, id: diva2:1198334
Note

Validerad;2018;Nivå 2;2018-05-09 (andbra)

Available from: 2018-04-17 Created: 2018-04-17 Last updated: 2025-02-14Bibliographically approved

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Wu, JianBerglund, KimLarsson, RolandShi, Yijun

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