Predictive based optimization of the laminated composite beam model for energy harvester application using RSM and TOPSIS

The vibration energy harvester beam made of laminated composite material bonded with a piezoelectric patch was studied. The harvester model was developed using finite element analysis (FEA) and validated with the results available in the literature. The prediction of the optimal harvester model was explored using response surface method (RSM) and technique for order preference by similarity to ideal solution (TOPSIS) method. The ply angle of each layer and the thickness were considered as the variables, and the frequency, stress, and voltage were the responses. The current study offers a prediction-based optimization of the energy harvester through RSM and TOPSIS.