Optimization and Prediction of Free Vibration Behaviour of Plant-Glass Fibres-Reinforced Hybrid Composite Plates Using PSO and ANN

The present work optimizes the free vibration behaviour of hybrid composite laminate composed of plant fibre and glass fibre with the aid of the particle swarm optimization methodology. The hybrid fibre-reinforced epoxy-based laminated composite plate has been materialized with E-glass fibre, aloe vera fibre and jute fibre, respectively. The dynamic behaviour of the aforementioned hybrid laminate was expressed with the formulation of finite element-assisted classical laminated plate theory. The proposed framework was applied to attain the optimal solution considering the weight maximization of the fundamental frequency of the hybrid laminate considering the effects of stacking sequence, ply orientation, and fibre and MWCNT weight fraction. The dynamic characteristics of the plant/glass fibre-reinforced hybrid composite plate having a wide range of variable bounds have been predicted using the artificial neural network and validated with the numerically computed results, which enables the framework can be equipped with the modern designers to design a hybrid composite structure.