کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9717298 | 1469447 | 2005 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Computational analysis of effect of single-walled carbon nanotube rope on molecular interaction and load transfer of nanocomposites
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Computational analysis of effect of single-walled carbon nanotube rope on molecular interaction and load transfer of nanocomposites Computational analysis of effect of single-walled carbon nanotube rope on molecular interaction and load transfer of nanocomposites](/preview/png/9717298.png)
چکیده انگلیسی
In single-walled carbon nanotube/polymer composites, carbon nanotubes usually exist as ropes or bundles of closest-packed nanotubes instead of individual and separated nanotubes. However, both the mechanisms and magnitudes of load transfer between the nanotubes within a rope and the polymer matrix have not been explored. We used molecular mechanics and molecular dynamics simulations to study the molecular interaction and load transfer in the presence of single-walled carbon nanotube rope. The incorporation of a nanotube rope into the composite system substantially increased the simulation difficulties due to the large number of atoms involved in the model. Our simulations revealed that the molecular interaction and load transfer were dependent on not only the physical interactions between the nanotubes and epoxy resins but also the internal interactions within the nanotube rope system. The simulations results showed that individual nanotubes had stronger interactions with the epoxy resins and, therefore, provided better load transfer than the nanotube rope.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Composites Part B: Engineering - Volume 36, Issues 6â7, 2005, Pages 524-533
Journal: Composites Part B: Engineering - Volume 36, Issues 6â7, 2005, Pages 524-533
نویسندگان
Jihua Gou, Zhiyong Liang, Chuck Zhang, Ben Wang,