| Abstrakt: |
The damping of a vibrating structure is prominent to avoid its catastrophic failure due to resonance. Layered and riveted structures are introduced to provide dry frictional damping. Optimization of different parameters of a dynamic structure that will damp out the amplitude to the maximum extent is required. This article investigates the damping mechanism of the multi-layered riveted cantilever beams for the variation of its different parameters using response surface methodology (RSM). Initially, experiments were done on riveted cantilever beams using a frequency response function (FRF) analyzer. Later, the parameters that affect the damping ratio together with the corresponding damping ratio values were utilized in the full factorial design to obtain the possible runs using Minitab-19.0 software. Next, RSM was executed on these runs. The significant parameters and their interactions that affect the damping ratio were discussed. Keeping significant parameters only, the reduced mathematical model for determining the damping ratio was also obtained. Moreover, the interaction, main effects plots, and the optimum values of parameters for minimizing and maximizing the damping ratio were obtained. Finally, validation of damping ratios from full, reduced mathematical regression models obtained using RSM, and the predicted damping ratios using artificial neural networks (ANN) was done using that from FRF analyzer, and ANN is proved as a more accurate prediction technique when compared with the RSM technique in the prediction of damping ratios of multi-layered riveted cantilever beams. [ABSTRACT FROM AUTHOR] |
