کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1586196 1515068 2015 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Electrical characterization and modeling of carbon nanotube and carbon fiber self-sensing composites for enhanced sensing of microcracks
ترجمه فارسی عنوان
بررسی ویژگی های الکتریکی و مدل سازی نانولوله های کربنی و کامپوزیت های خود کنترل کننده فیبر کربن برای افزایش حساسیت میکروارگانیسم ها
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی مواد دانش مواد (عمومی)
چکیده انگلیسی

Carbon nanotube (CNT) networks and carbon fibers have been investigated for in situ sensing of micro-scale damage. The electrical resistance change due to transverse matrix cracking in [0/90]s cross-ply carbon fiber-reinforced and CNT/glass fiber-reinforced hybrid composites is analyzed for the purpose of improving measurement sensitivity. Two different types of conductively modified glass fiber/epoxy/nanotube composites are characterized and compared with a carbon fiber/epoxy laminate. Two-dimensional finite element models are generated using electrical properties obtained from experimental characterization. Electrostatic simulations are performed to investigate the effect of the electrical anisotropy and various electrode parameters on the measurement sensitivity to matrix cracking. Simulation results are verified by cyclic loading experiments which are used to correlate the change in electrical resistance to transverse matrix cracks. The damage sensitivity of the electrical network is highly dependent on the network morphology and electrical anisotropy. Glass fiber composites with nanotubes dispersed uniformly throughout the polymer matrix exhibited low electrical anisotropy and showed the highest sensitivity to matrix cracking. The choice of electrode configuration and spacing also becomes an important consideration as the anisotropy increases. Carbon fiber laminates are comparatively less sensitive to matrix damage but modification of the polymer matrix using carbon nanotubes provides opportunity to increase damage sensitivity.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Materials Today Communications - Volume 3, June 2015, Pages 17–26
نویسندگان
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