Controlling and steering elastic waves through isotropic material slabs is of particular interest in engineering applications. This can be achieved by using acoustic holograms. Elastic wave manipulation through solid structures remains a challenge for locally charging sensors or devices. Unlike fluid mediums, wave propagation through solid structures involves the propagation of longitudinal and shear waves that need to be accounted for when designing the hologram. Numerical simulations and experiments are conducted to verify our approach and to show the capability of holograms to pattern elastic waves.
This work was supported by the U.S. National Science Foundation (NSF) under CAREER grant No. CMMI 2143788, which is gratefully acknowledged.
Through-wall ultrasound power transfer (TWUPT) systems have gained interest in many engineering applications thanks to their superior efficiency and wireless connection. In this paper, we propose the use of non-uniform electrode configurations attached to the face of the piezoelectric transducer and receiver for selective mode excitations. A finite element model is created to simulate the TWUPT system and predict the best electrode patterns. For a wide range of vibration modes, the simulation results are compared to their experimental counterparts.
This work was supported by the U.S. National Science Foundation (NSF) under grant No. ECCS 1711139 and CAREER No. CMMI 2143788, which are gratefully acknowledged.
Acoustic Power Transfer (APT) systems have gained interest in many engineering applications thanks to their superior efficiency and wireless connection when through-hole wiring is not an option. Although APT systems have been extensively studied in the last decades, the performance of such systems has not been yet optimized to achieve high efficiency or/and output power levels. In this paper, we consider the APT system consisting of a metal barrier sandwiched between two piezoelectric elements using epoxy as a coupling layer. Towards this, a three-dimensional propagation finite element model is developed and genetic algorithm-based optimization problem is formulated and implemented. The simulation results were compared against their experimental counterparts.
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