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Effects of waviness on fiber-length distribution and interfacial shear strength of natural fibers reinforced composites.

Authors :
Gigante, Vito
Aliotta, Laura
Phuong, Vu Thanh
Coltelli, Maria Beatrice
Cinelli, Patrizia
Lazzeri, Andrea
Source :
Composites Science & Technology. Nov2017, Vol. 152, p129-138. 10p.
Publication Year :
2017

Abstract

Natural fibers are not as rigid as glass or carbon fibers. During composites extrusion and injection molding, they tend to bend and twist in the polymeric matrix, thus resulting in fiber waviness and decreased mechanical properties of natural fiber composites. The most widely used models for the estimation of interfacial shear strength (IFSS) and elastic modulus, which consider the fiber aspect ratio and mechanical properties of the fiber and matrix, do not consider these important features. In order to account for fiber waviness, an effective fiber length is proposed in this paper. The undulation of the fibers is approximated with a sinusoidal arc along with a calculated new length. The proposed correction factor depends on the wavelength and amplitude of the wave approximating the fiber. To verify this method, blends of polylactic acid (PLA) and polycarbonate (PC) (prepared with and without an interchange reactions catalyst) with addition to various percentages of cellulosic fibers (5 wt%, 10 wt% and 15 wt%) have been prepared and characterized. It has been demonstrated that by considering the corrected length values, it is possible to predict the mechanical properties and the effective reinforcement attained in the composites by using the most widely used models. In particular, the prediction of the elastic modulus is slightly affected by this correction, whereas the calculation of IFSS is strongly dependent on it. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02663538
Volume :
152
Database :
Academic Search Index
Journal :
Composites Science & Technology
Publication Type :
Academic Journal
Accession number :
125723082
Full Text :
https://doi.org/10.1016/j.compscitech.2017.09.008