کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7892186 | 1509903 | 2015 | 34 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Enhanced tensile properties of aluminium matrix composites reinforced with graphene encapsulated SiC nanoparticles
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی مواد
سرامیک و کامپوزیت
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Enhanced tensile properties of aluminium matrix composites reinforced with graphene encapsulated SiC nanoparticles Enhanced tensile properties of aluminium matrix composites reinforced with graphene encapsulated SiC nanoparticles](/preview/png/7892186.png)
چکیده انگلیسی
Due to a high propensity of nano-particles to agglomerate, making aluminium matrix composites with a uniform dispersion of the nano-particles using liquid routes is an exceptionally difficult task. In this study, an innovative approach was utilised to prevent agglomeration of nano-particle by encapsulating SiC nano-particles using graphene sheets during ball milling. Subsequently, the milled mixture was incorporated into A356 molten alloy using non-contact ultrasonic vibration method. Two different shapes for graphene sheets were characterised using HRTEM, including onion-like shells encapsulating SiC particles and disk-shaped graphene nanosheets. This resulted in 45% and 84% improvement in yield strength and tensile ductility, respectively. The former was ascribed to the Orowan strengthening mechanism, while the latter is due primarily to the fiber pull-out mechanism, brought about by the alteration of the solidification mechanism from particle pushing to particle engulfment during solidification as a consequence of high thermal conductive graphene sheets encapsulating SiC particles.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Composites Part A: Applied Science and Manufacturing - Volume 68, January 2015, Pages 155-163
Journal: Composites Part A: Applied Science and Manufacturing - Volume 68, January 2015, Pages 155-163
نویسندگان
A. Fadavi Boostani, S. Tahamtan, Z.Y. Jiang, D. Wei, S. Yazdani, R. Azari Khosroshahi, R. Taherzadeh Mousavian, J. Xu, X. Zhang, D. Gong,