Multi-objective Optimization of Thermal and Sound Insulation Properties of Basalt and Carbon Fabric Reinforced Composites Using the Taguchi Grey Relations Analysis

Abstract

ABSTRACT In this study, an experimental investigation was conducted to explore the thermal and acoustic insulation capabilities of basalt fabric and carbon fabric-reinforced composite materials. The relationship between fabric additive ratios and sound and thermal absorption qualities has been studied. The resin is mixed with two distinct mineral powder additions. Taguchi Grey Relations Analysis optimization approach was utilized to discover the composite material with the optimum sound and thermal insulation qualities. The Taguchi Method Experimental Design L18 (mixed 3–6 levels) was chosen. Fabric (six levels), Al2O3 (alumina) filler (three levels), and SiC (silicon carbide) filler (three levels) were chosen as test parameters as input variables based on the experimental design. Sound Transmission Loss and Thermal Conduction Coefficient were chosen as the output parameters to be optimized as response variables. The study’s findings led to the identification of optimal samples for thermal conductivity coefficient and sound transmission loss testing, as well as confirmation tests for these samples. Using the Taguchi Grey Relational Analysis, the best input parameters were discovered to be 30% carbon, 0% Al2O3, and 5% SiC for the best Thermal Conductivity Coefficients (W/mK) and Sound Transmission Loss (dB). As a result of the confirmation test, an improvement of 0.15 was found.