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Title:Artificial Lateral Line Canal System for Underwater Disturbance Sensing
Author(s):Chen, Nannan
Doctoral Committee Chair(s):Chang Liu
Department / Program:Electrical and Computer Engineering
Discipline:Electrical and Computer Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Engineering, Electronics and Electrical
Abstract:This dissertation describes a new mode of hydrodynamic sensing using a micromachined artificial lateral line canal system. As a potential alternative to sonar, it offers a passive mode of detection, which could allow for the realization of stealth monitoring capabilities. An example would be for the real-time autonomous detection and tracking of underwater targets. In order to create an artificial lateral line canal, flow sensors are needed to detect the flow inside the canal. A microfabricated artificial haircell flow sensor has been developed for this purpose. The sensor utilizes a piezoresistive transduction mechanism. It consists of a silicon cantilever with doped piezoresistors at the fixed end and an out-of-plane, high-aspect-ratio SU-8 hair structure attached to the free end. The design, fabrication, theoretical modeling and experimental characterization of the sensor will be presented. The sensor exhibits good sensitivity down to the submm/s range for underwater oscillatory flow. It can also distinguish between flows from different directions. However, the sensor becomes saturated by low frequency noise under strong background flow. In order to detect disturbances under these conditions, the sensors are embedded in an artificial canal structure. The fabrication of the first prototype artificial lateral line canal device will be presented, followed by the fluid-mechanics modeling and experimental validation. Measurements conducted in running water have clearly demonstrated the advantage of using a canal structure for disturbance sensing under noisy flow conditions.
Issue Date:2008
Type:Text
Language:English
Description:110 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008.
URI:http://hdl.handle.net/2142/81090
Other Identifier(s):(MiAaPQ)AAI3337725
Date Available in IDEALS:2015-09-25
Date Deposited:2008


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