title: Enhanced acoustic sensing through wave compression and pressure amplification in anisotropic metamaterials.
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.
authors.affiliation: Department of Mechanical Engineering, University of Maryland, College Park, Maryland 20742, USA.
authors.forename: Yongyao
authors.initials: Y
authors.lastname: Chen
authors.affiliation: Department of Mechanical Engineering, University of Maryland, College Park, Maryland 20742, USA.
authors.forename: Haijun
authors.initials: H
authors.lastname: Liu
authors.affiliation: Department of Mechanical Engineering, University of Maryland, College Park, Maryland 20742, USA.
authors.forename: Michael
authors.initials: M
authors.lastname: Reilly
authors.affiliation: Department of Mechanical Engineering, University of Maryland, College Park, Maryland 20742, USA.
authors.forename: Hyungdae
authors.initials: H
authors.lastname: Bae
authors.affiliation: Department of Mechanical Engineering, University of Maryland, College Park, Maryland 20742, USA.
authors.forename: Miao
authors.initials: M
authors.lastname: Yu