Microstructure and tensile properties of bulk nanostructured aluminum/graphene composites prepared via cryomilling

التفاصيل البيبلوغرافية
العنوان: Microstructure and tensile properties of bulk nanostructured aluminum/graphene composites prepared via cryomilling
المؤلفون: S.Q. Wang, J.L. Li, S.L. Dai, S.J. Yan, J.Z. Chen, W.W. He, Y.C. Xiong, Xueding Wang, X.Y. Zhang, Chun Yang
المصدر: Materials Science and Engineering: A. 626:400-405
بيانات النشر: Elsevier BV, 2015.
سنة النشر: 2015
مصطلحات موضوعية: Materials science, Graphene, Mechanical Engineering, Composite number, Condensed Matter Physics, Microstructure, Nanocrystalline material, law.invention, Mechanics of Materials, Transmission electron microscopy, law, Ultimate tensile strength, General Materials Science, Extrusion, Composite material, Ductility
الوصف: In order to develop high strength metal–matrix composites with acceptable ductility, bulk nanostructured aluminum–matrix composites reinforced with graphene nanoflakes were fabricated by cryomilling and hot extrusion processes. Microstructure and mechanical properties were characterized and determined using transmission electron microscopy, electron dispersion spectroscopy, as well as static tensile tests. The results show that, with an addition of only 0.5 wt% graphene nanoflakes, the bulk nanostructured aluminum/graphene composite exhibited increased strength and unsubdued ductility over pure aluminum. Besides, the mechanical properties of the composites with higher content of graphene nanoflakes were also measured and investigated. Above 1.0 wt% of graphene nanoflakes, however, this strengthening effect sharply dropped due to the clustering of graphene nanoflakes. Furthermore, the optimal addition of graphene nanoflakes into the nanocrystalline aluminum matrix was calculated and discussed.
تدمد: 0921-5093
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::4f5322abdcaf0f573c4b21188968304a
https://doi.org/10.1016/j.msea.2014.12.102
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........4f5322abdcaf0f573c4b21188968304a
قاعدة البيانات: OpenAIRE