Optimization and Modeling the Mechanical Properties of Bagasse and Luffer Cylindrica Fiber Reinforced Epoxy Polymer Hybrid Composite using Taguchi Design and Fuzzy Logic
Publication Date : 08/03/2021
In this study, Taguchi robust design was used to design the experiment and optimize the mechanical properties of the hybrid composite while modeling and prediction of the mechanical properties was done using fuzzy logic. The hybrid composite was produced using bagasse (5%wt,10%wt and 20%wt) and luffer fiber (5%wt,10%wt and 20%) as reinforcement in epoxy resin based polymer matrix. The mechanical properties considered in this study are impact strength, hardness and flexural strength. Taguchi optimization evaluated and gave the expected optimum value for flexural strength as 103MPa, 22MPa for impact strength and 20HRfor hardness. The analysis also shows that %wt of bagasse is the most significant factor in the optimization of the hybrid composite in the case study. Fuzzy logic model predictions gave a correlation coefficient (R) value of 0.945577 for impact strength, 0.994524 for flexural strength and 0.996712 for hardness. The result show that fuzzy logic can be used to predict the flexural strength, hardness and impact strength of bagasse/luffer fiber reinforced epoxy hybrid composite.
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