Mechanical behavior of novel Latania natural fiber reinforced PP/EPDM Composites subjected to tensile loads
Publish place: Conference on New Findings in Aerospace and Related Sciences
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
View: 851
This Paper With 13 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
MAARS01_117
تاریخ نمایه سازی: 16 اسفند 1394
Abstract:
In this article, for the first time, a new natural bast fiber known as latania natural fiber is introduced and employed to reinforce polypropylene (PP) and ethylene-propylene-diene-monomer (EPDM) (PP/EPDM composite) and the standard fabricated specimens are tested under tensile loads. Different fiber weight fractions of 0, 5, 10, 20 and 30% are investigated. Mechanical tensile and morphological properties of PP/EDPM composites with and without latania natural fibers are studied. Inspired by a recent published research work [1] in which jute natural fiber was used to reinforce PP/EPDM composites to be examined under tensile loads, fabrication procedure and testing conditions are intentionally the same as that mentioned in [1]. This provides a good opportunity to compare two different natural fiber reinforcements: jute and latania. The results showed higher mechanical performance of PP/EPDM/Latania than PP/EPDM/Jute composites under tensile condition. Scanning electron microscopy (SEM) photographs were used to gain more understanding of the nature of fracture.
Keywords:
A. Polymer-matrix composites (PMCs) , B. Mechanical properties , D. Scanning electron microscopy (SEM) , E. Injection moulding
Authors
v Daghigh
Young Researchers and Elite Club, Islamic Azad University, Tehran Branch, Tehran, Iran
M Haghpanahi
Department of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran
K Nikbin
Department of Mechanical Engineering, Imperial College, London, UK
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 :