Learning and applying material-based sensing lessons from nature

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1853/29749

Title: Learning and applying material-based sensing lessons from nature
Author: McConney, Michael Edward
Abstract: The work presented in this dissertation was aimed at understanding biology's application of soft materials to enhance sensing abilities and initiate innovative bio-inspired material-based approaches for flow (fluidic and air) sensors and photo-thermal sensors. A key aim is to help strengthen this niche of functional materials science referred to, here, as bio-inspired materials in sensing roles. The work aspires to traverse the boundaries of the subject in order to provide a strong foundation for future scientific explorations of the subject. The studies presented here, include studies of flow sensing in fish and implementing a bio-mimetic approach to microfabricated flow sensors. The work also includes studies of material based signal filtering in spiders, as well as, bio-inspired photo-thermal transduction mechanisms. The capabilities of the methodology are demonstrated with successful engineering studies.
Type: Dissertation
URI: http://hdl.handle.net/1853/29749
Date: 2009-07-06
Publisher: Georgia Institute of Technology
Subject: Bio-inspiration
Flow sensor
IR sensor
Bio-inspired sensor
Detectors
Biomimetics
Tactile sensors
Optical detectors
Biomimetic polymers
Flow meters
Department: Polymer, Textile and Fiber Engineering
Advisor: Committee Chair: Tsukruk, Vladimir; Committee Member: Shofner, Meisha; Committee Member: Srinivasarao, Mohan; Committee Member: Thio, Yonathan; Committee Member: Weissburg, Marc
Degree: Ph.D.

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