Katmanlı üretimde sönümleme stratejileri:hibrit malzemeler, metamalzemeler ve parçacık sönümleme

This thesis explores innovative strategies to enhance damping in structural systems for vibration control applications. Three distinct approaches are investigated: (1) the hybridization of additively manufactured Triply Periodic Minimal Surface (TPMS) metal parts with silicone polymers, (2) the integration of metamaterials with constrained layer damping (CLD) techniques using TPMS structures and viscoelastic polymers, and (3) the optimization of particle dampers through a hybrid computational framework. Each method employs finite element modeling (FEM) and experimental modal testing to validate significant improvements in damping performance. In the first study, Cobalt-Chrome TPMS structures are combined with silicone polymers, resulting in up to a sixfold increase in time-domain damping and a thirtyfold improvement in frequency-domain analysis. The second study integrates aluminum TPMS structures with silicone polymer layers for CLD applications, achieving a fivefold enhancement in damping performance and reduced cumulative vibration response. The third study focuses on optimizing particle dampers by employing a hybrid computational framework that combines finite element analysis, artificial neural networks (ANN), and genetic algorithms (GA), leading to substantial reductions in vibratory response. Collectively, these findings demonstrate the transformative potential of advanced manufacturing techniques, hybrid material systems, and computational optimization in developing next-generation structural damping solutions for engineering applications.