Open AccessApplication of Evolutionary Algorithms to Predict Mechanical Properties on Natural Fibers – A Review
Author(s) -
Ravindra Kumar,
T. Rajmohan,
D. Vijayan
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/954/1/012036
Subject(s) - modulus , materials science , flexural strength , composite material , ultimate tensile strength , natural (archaeology) , flexural modulus , computer science , evolutionary algorithm , algorithm , synthetic fiber , fiber , artificial intelligence , geology , paleontology
Natural fibers are an abundant source in nature, having an inherent property in which include biodegradable, decomposable and cost efficient. Moreover, they exhibit extensive mechanical properties such as tensile modulus, flexural modulus than synthetic fibers when reinforcing polymer resins. However, adding inappropriate levels of quantity of resins misleads on obtaining desired mechanical properties. Several approaches have been utilized in the past decades to get desired mechanical properties on the natural fibers, in which applying evolutionary algorithms are the most recent and familiar in the composite research community. Therefore, in this study an application of evolutionary algorithms on natural fibers are presented. This objective of the review is to provide detailed information of the natural fibers along with its recent algorithmic approaches. Moreover, the effect of various treatments and its changes in mechanical, thermal and electrical properties of matrix.