کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
820356 | 1469530 | 2014 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
AFM-based model of percolation in graphene-based polymer nanocomposites
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Here, we show that a prediction of conductivity in composites can be improved by replacing fitting parameters of the percolation models by information on composite's microstructure. The methodology was demonstrated on the modified McCullough's structure-oriented model combined with current maps obtained by Conductive Atomic Force Microscopy (CA-AFM). The approach was tested on nanocomposites with graphene nanoplatelets (GNPs/PS) and proved to be coherent with experimental conductivity measurements and able to predict a percolation threshold. For the composite GNPs/PS both experimental and calculated percolation thresholds are approximately equal to 0.9Â wt.% of GNPs. The model can be used for a prediction of conductivity of different kinds of conductive-dielectric composites.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Composites Science and Technology - Volume 95, 1 May 2014, Pages 38-43
Journal: Composites Science and Technology - Volume 95, 1 May 2014, Pages 38-43
نویسندگان
Julia Syurik, Natalya Alyabyeva, Alexander Alekseev, Oleg A. Ageev,