Comparison of ANN and Regression Analysis for Predicting the Water Absorption Behaviour of Jute and Banana Fiber Reinforced Epoxy composites

被引:1
|
作者
Pujari, Satish [1 ]
Ramakrishna, A. [2 ]
BalaramPadal, K. T. [1 ]
机构
[1] AU Coll Engn, Dept Mech Engn, Visakhapatnam, Andhra Prades, India
[2] GVP Coll Engn, Dept Mech Engn, Visakhapatnam, Andhra Prades, India
关键词
Woven jute fibers; Water absorption; Epoxy; Natural fiber composites; Green composites; artificial neural networks; Regression model; Fuzzy logics; MECHANICAL-PROPERTIES; MOISTURE ABSORPTION;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The objective is focusing on the determination of physical property of biodegradable and easily disposable natural fiber reinforced epoxy composites for automotive, household and architectural applications. The jute and banana fibers are readily available and cheap when compared to synthetic and non-biodegradable glass fibers. However, all natural fiber composites absorb water in moist environment. The water absorption behavior of composites made from jute and banana fibers and epoxy is presented in this experimental characterization study. Water absorption test is performed by immersing composite specimens into water at room temperature until absorption becomes constant. The results discuss that jutefiber reinforced composite absorbs less water within a period of time. The work also reports a comparative analysis of two methodologies for the prediction of physical property of natural fiber composites. However, ANN gives better result than the regression. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1626 / 1633
页数:8
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