Optimisation Of Wear Parameters Of Dual Filler Epoxy Composites Using The Grey Relational Analysis

Ajibade, O.A. ; Agunsoye, J.O. ; Oke, S.A. (2018)


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