In this review, the latest progress of intelligent materials incorporated with acoustic metamaterials is summarized to provide an impetus for this highly interdisciplinary advancement towards low-frequency sound absorption.
Ionic Polymer-Metal Composite (IPMC) has been widely recognized as a promising and representative candidate of soft intelligent materials actuated under low voltage. During recent few years, the importance of the electrode/substrate interface received growing attention for the research on both the ion-based mass transport modeling and practical performance manipulation of ionic electro-active actuators. In this paper, based on a macroscopic serrated interface morphology, the influences of the interface were revealed comprehensively by distinguishing the bending direction as well as the variation of interfacial area, excisional volume and moment of inertia. The offsetting interaction from different aspects were analyzed in detail. On this basis, an interesting result showed that, contrary to current understanding, the enlarged interface area didn’t necessarily lead to better deformation, primarily ascribed to the trade-off influences from the increasing excisional volume and decreasing bending inertia moment. In addition, a correspondingly fabrication process was established, which verified experimentally that IPMC with a super simple macroscopic serrated interface can present a high-performance electro-active performance, providing a minimalist design strategy of ionic electroactive polymer (EAP) structures.
We propose a waveform that includes Linear frequency modulation and non linear frequency modulation wave applicable for MIMO radar. The wave form consists of three segments where the boundary segment consists of LFM content and the middle segment consists of NLFM. The time frequency component in the middle segment is controlled. The range and Doppler side lobe suppression is improved. The genetic algorithm is implemented to suppress the side lobes in the auto correlation and cross correlation functions. The performance is analysed by using ambiguity function .
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