Banana-Glass Fiber Composite for Acoustic Insulation and Prediction of Its Properties by Fuzzy Logic System

The objective of the current study is to develop a model employing fuzzy logic expert system (FLES) for predicting noise reduction coefficient (NRC) banana-glass fiber composite. Banana has strong ability muffle sounds while having low tensile strength. Glass fiber, on other hand, limited capacity sound absorption despite considerable A composite consisting banana and glass been developed in order increase capability keeping appropriate adsorption test was done by passing through composites via an impedance tube. It found that 25% 75% hybrid 5 mm thickness shows 375.96% more NRC than 100% Only content increased incredibly. Different compositions thicknesses were taken as input variables output, coefficient. To better comprehend relationship between these variables, logic-based created model’s determination (R2) be 0.9884. accurately anticipated with varying constituent percentages thicknesses.