55
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Enhanced acoustic sensing through wave compression and pressure amplification in anisotropic metamaterials.

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Acoustic sensors play an important role in many areas, such as homeland security, navigation, communication, health care and industry. However, the fundamental pressure detection limit hinders the performance of current acoustic sensing technologies. Here, through analytical, numerical and experimental studies, we show that anisotropic acoustic metamaterials can be designed to have strong wave compression effect that renders direct amplification of pressure fields in metamaterials. This enables a sensing mechanism that can help overcome the detection limit of conventional acoustic sensing systems. We further demonstrate a metamaterial-enhanced acoustic sensing system that achieves more than 20 dB signal-to-noise enhancement (over an order of magnitude enhancement in detection limit). With this system, weak acoustic pulse signals overwhelmed by the noise are successfully recovered. This work opens up new vistas for the development of metamaterial-based acoustic sensors with improved performance and functionalities that are highly desirable for many applications.

          Related collections

          Author and article information

          Journal
          Nat Commun
          Nature communications
          2041-1723
          2041-1723
          Oct 15 2014
          : 5
          Affiliations
          [1 ] Department of Mechanical Engineering, University of Maryland, College Park, Maryland 20742, USA.
          Article
          ncomms6247
          10.1038/ncomms6247
          25316410
          987f2647-c4b9-462b-9fa1-8461ad848b32
          History

          Comments

          Comment on this article