Investigation into the mechanical and thermal properties of coir fibre-reinforced PVC composites using RSM-based different algorithm techniques

Ensuring the reliable functioning of power electronics and energy-critical electrical devices, while properly managing heat in electrical conductors, is very difficult when it comes to sustainable energy consumption. The authors examine input parameters to maximize thermal conductivity, Young’s modulus, shear modulus, impact strength and electrical resistance while decreasing the coir fibre-reinforced composite CFRC dielectric constant. This study predicts CFRC strength using regression equations and three metaheuristic algorithms: particle swarm optimisation, dragonfly algorithm and salp swarm algorithm (SSA). Metaheuristic algorithms are compared to Derng’s method/Friedman’s test for optimal performance. The ranking system is used to determine the overall performance of three of the most effective algorithms. These three methods predict well. The dragonfly algorithm (DFO) approach is most resilient and generalisable with R2 values of 0.91 and 0.95 for training and testing sets. The DFO approach is recommended to simulate fibre-reinforced CFRC interaction complexity and forecast strength.