Optimisation Of Wear Parameters Of Dual Filler Epoxy Composites Using The Grey Relational Analysis
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Date
2018
Authors
Ajibade, O.A.
Agunsoye, J.O.
Oke, S.A.
Journal Title
Journal ISSN
Volume Title
Publisher
International Journal of Engineering, Tome XVI Fascicule 4
Abstract
Researchers have long examined wear of composites. More lately, material scientists and engineering
scholars have explored cheap and low density solid waste by-products of manufacturing and process systems such
as cenosphere fly-ash of coal’s combination in thermal power plants to enhance wear resistance of aluminum metal
matrix composites in brake part applications. Hitherto, little is understood about the wear of agro-rooted fortified
polymer composites. Furthermore, very less is known on wear optimization of agro-based polymer composites
reinforced with pairs of blended particulates of any for orange peels, shells of coconut, periwinkle, palm kernel and
egg. Building on two groups of scientific literature-composites and optimization- this research examined how dual
blended polymer composites could be optimized using the grey relational analysis (GRA) in the presence of limited
data for the composite development process. The GRA is illustrated as a configuration to achieve comprehension of
the wear optimization procedure for the chosen composites. The offered procedure initiates a new research direction
in dual mixed fortified polymer composites for the following reasons. First, a foremost attempt at optimizing any of
the developed composites in a situation of limited data is reported. Second, the possible influence of variations of
the orthogonal arrays on the wear outcome is a novelty documented for the wear outcome is a novelty documented
for the first time in the polymer composite literature. The achieved outcome using the L16 orthogonal array revealed
an optimal setting of A2B1C2D4 as the most advantageous grey run for all the composites. For the second goal of
varying the orthogonal array, it was noted that the percentage differences obtained between the original and variant
results that there could be improvement, stagnancy or decline in the obtained optimal results. The research offers a
deep insight into the composite optimization procedure helpful in the development process, and is an extremely
required bridge connecting the literature on composites and optimization
Description
Keywords
wear, dual-filler composites, optimisation, grey relational analysis
Citation
Ajibade, O.A. Agunsoye, J.O. Oke, S.A. (2018). Optimisation Of Wear Parameters Of Dual Filler Epoxy Composites Using The Grey Relational Analysis. International Journal of Engineering, Tome XVI Fascicule 4