Investigation in to damage pattern and extension of unsaturated resin/glass fiber nanocomposite reinforced by nanoclay
Publish place: 2nd International Conference on Composites: Characterization, Fabrication and Application
Publish Year: 1389
نوع سند: مقاله کنفرانسی
زبان: English
View: 1,642
This Paper With 7 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
COMPOSIT02_005
تاریخ نمایه سازی: 24 مهر 1389
Abstract:
Hemispherical tip projectile with diameter of 8.7mm and weight of 11.54g projectile were impacted onto glass fiber /unsaturated polyester/ organoclay nanocomposite panels to determine the damage resistance of nanocomposite structures with different content of nanoclay for a number of laminate thicknesses, 4, 8 and 12 layer, and to observe the resulting damage modes that occur over a wide range of velocity. High velocity impact tests were conducted with fully clamped boundary conditions. It is shown that there is different fracture mechanisms involved for nanocomposite materials under high-velocity impact; these include delamination, shear plugging, matrix cracking, and tensile failure of bers, which are in direct contact with projectile head, back face cone formation of composite target and friction associated with contact between projectile outer surface area, and composite target, which experience penetration and perforation. Experimental data indicate a very good relationship between the delaminating areas and the initial impact velocities. Increasing in initial impact velocity lead to increasing in delamination area which was measured by using an Image J program. Delamination area for back face of nanocomposite was higher than of impacted face of nanocomposite.
Keywords:
Authors
J. Moftakharian
Department of composite, Iran Polymer and Petrochemical Institute, P.O. Box۴۹۶۵/۱۱۵, Tehran I. R. Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :