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Microstructure analysis, tribological correlation properties and strengthening mechanism of graphene reinforced aluminum matrix composites

In this paper, graphene reinforced aluminum matrix composites are successfully prepared by high-energy ball milling. The results show that no graphene agglomeration is found in the mixed powder. The complex composites prepared by high energy ball milling and powder metallurgy have approximately 4–5...

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Autores principales: Wang, Fei, Liu, Heping, Liu, Zesheng, Guo, Zhiming, Sun, Fenger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187680/
https://www.ncbi.nlm.nih.gov/pubmed/35689017
http://dx.doi.org/10.1038/s41598-022-13793-y
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author Wang, Fei
Liu, Heping
Liu, Zesheng
Guo, Zhiming
Sun, Fenger
author_facet Wang, Fei
Liu, Heping
Liu, Zesheng
Guo, Zhiming
Sun, Fenger
author_sort Wang, Fei
collection PubMed
description In this paper, graphene reinforced aluminum matrix composites are successfully prepared by high-energy ball milling. The results show that no graphene agglomeration is found in the mixed powder. The complex composites prepared by high energy ball milling and powder metallurgy have approximately 4–5 layers of graphene and the thickness of single-layer graphene is approximately 0.334 nm. The final experimental results confirm the formation of compound AlC(3) in the microstructure, and its diffraction spot index is ([Formula: see text] 00), ([Formula: see text] 1[Formula: see text] ) and (11[Formula: see text] ). The maximum friction coefficient is 0.126, and the average friction coefficient is 0.027, suggesting good wear resistance and corrosion resistance. Additionally, the friction corrosion mechanism of the material is deeply analyzed. The results of strengthening mechanism analysis show that the main strengthening mechanism of the materials designed in this experiment is thermal mismatch strengthening. It can be concluded that the yield strength of the material calculated by the modified model is 227.75 MPa. This value is slightly lower than the calculated value of the general shear lag model (237.68 MPa). However, it is closer to the yield strength value of the actual material (211 MPa).
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spelling pubmed-91876802022-06-12 Microstructure analysis, tribological correlation properties and strengthening mechanism of graphene reinforced aluminum matrix composites Wang, Fei Liu, Heping Liu, Zesheng Guo, Zhiming Sun, Fenger Sci Rep Article In this paper, graphene reinforced aluminum matrix composites are successfully prepared by high-energy ball milling. The results show that no graphene agglomeration is found in the mixed powder. The complex composites prepared by high energy ball milling and powder metallurgy have approximately 4–5 layers of graphene and the thickness of single-layer graphene is approximately 0.334 nm. The final experimental results confirm the formation of compound AlC(3) in the microstructure, and its diffraction spot index is ([Formula: see text] 00), ([Formula: see text] 1[Formula: see text] ) and (11[Formula: see text] ). The maximum friction coefficient is 0.126, and the average friction coefficient is 0.027, suggesting good wear resistance and corrosion resistance. Additionally, the friction corrosion mechanism of the material is deeply analyzed. The results of strengthening mechanism analysis show that the main strengthening mechanism of the materials designed in this experiment is thermal mismatch strengthening. It can be concluded that the yield strength of the material calculated by the modified model is 227.75 MPa. This value is slightly lower than the calculated value of the general shear lag model (237.68 MPa). However, it is closer to the yield strength value of the actual material (211 MPa). Nature Publishing Group UK 2022-06-10 /pmc/articles/PMC9187680/ /pubmed/35689017 http://dx.doi.org/10.1038/s41598-022-13793-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Wang, Fei
Liu, Heping
Liu, Zesheng
Guo, Zhiming
Sun, Fenger
Microstructure analysis, tribological correlation properties and strengthening mechanism of graphene reinforced aluminum matrix composites
title Microstructure analysis, tribological correlation properties and strengthening mechanism of graphene reinforced aluminum matrix composites
title_full Microstructure analysis, tribological correlation properties and strengthening mechanism of graphene reinforced aluminum matrix composites
title_fullStr Microstructure analysis, tribological correlation properties and strengthening mechanism of graphene reinforced aluminum matrix composites
title_full_unstemmed Microstructure analysis, tribological correlation properties and strengthening mechanism of graphene reinforced aluminum matrix composites
title_short Microstructure analysis, tribological correlation properties and strengthening mechanism of graphene reinforced aluminum matrix composites
title_sort microstructure analysis, tribological correlation properties and strengthening mechanism of graphene reinforced aluminum matrix composites
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187680/
https://www.ncbi.nlm.nih.gov/pubmed/35689017
http://dx.doi.org/10.1038/s41598-022-13793-y
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