Tag: metamaterials
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Metamaterials-based structural health monitoring
The aim of this thesis is to explore numerically and experimentally the fundamentals of wave elastodynamics in active, nonlinear, and topological metamaterials, and to identify functional behaviors that can be engineered to realize modules with a well-defined functionality. The implementation, then, consists of a network of modular transducers that can be easily embedded in a host structure and with
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Metamaterials-controlled microfluidics
Leaky waves exist in correspondence of a boundary between a fluid, when the velocity of the wave propagating in the solid is greater than that propagating in the fluid. As a result, there is a radiation mechanism that takes place, whereby the energy, initially sitting in the solid, propagate in the fluid at a fixed
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Design of a metamaterial for a novel MEMS mechanical circulator
Several works in literature and from our research group have shown that periodic structures with space-time varying properties lead to a non-symmetric (non-reciprocal) response. In short, in some frequency intervals (band gaps), these metamaterials allow the propagation of waves only in one direction and block them in the opposite direction. This thesis aims to design
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Active & passive meta-MEMS devices for signal processing
During this thesis, the student will design a multifunctional metastructure at the micro-scale, where a tailored arrangement of unit cells allows performing certain operations to an incoming elastic signal. Examples that we want to explore are (i) performing derivative/integrals and arbitrary transfer functions, (ii) frequency conversion, (iii) Wave-diode effect (nonreciprocity), (iv) waveguiding, trapping and focusing.
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3D acoustic invisibility cloak
Acoustic metamaterials gave birth to the engineering counterpart of amazing cutting-edge novelties from physics, which discovered and proved unusual ways for steering pressure waves. Outcomes such as superlensing and invisibility cloaking are the most famous and impressive applications. However, the practical realization of these applications remains a significant challenge. Our research group is dedicated to
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Substructuring techniques and pROMs for the optimization of a MEMS voice recognition device
This thesis aims to develop strategies to alleviate the computational burden of optimising a novel, purely mechanical voice recognition device. The device is composed of many repeated cells, each slightly varied through parametric optimisation of a high-fidelity finite element model with millions of degrees of freedom. Direct simulation of such models is computationally prohibitive, making