期刊
MATERIALS & DESIGN
卷 41, 期 -, 页码 131-141出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.matdes.2012.05.002
关键词
Polymer matrix composite; Mechanical properties; Erosion wear; Design of experiment; Artificial neural network
This paper describes the development of multiphase hybrid composites consisting of epoxy reinforced with glass-fiber and filled with rice husk particulates. It further investigates the mechanical properties and erosion wear response of these composites and presents a comparison between the unfilled and filled samples. The erosion wear experiments are conducted as per design of experiment approach using Taguchi's orthogonal arrays. The Taguchi approach enables us to determine optimal parameter settings that lead to minimization of the erosion rate. The results indicate that impact velocity, filler content, impingement angle and erodent size influence the wear rate significantly. The experimental results are in good agreement with values from the mathematical and artificial neural network (ANN) model. The objective of the present work is to fabricate a new class of epoxy based low cost hybrid composites reinforced with glass fiber and filled with rice husk powder in different weight proportions and to study the mechanical and erosion wear performance of these composites. This study reveals that hardness, tensile modulus, impact energy and erosion resistance of these new class hybrid composites are improving with filler addition while a steady decline in tensile and flexural properties are observed. (C) 2012 Elsevier Ltd. All rights reserved.
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