Learning and applying material-based sensing lessons from nature

Show full item record

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
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.

All materials in SMARTech are protected under U.S. Copyright Law and all rights are reserved, unless otherwise specifically indicated on or in the materials.

Files in this item

Files Size Format View
McConney_Michael_E_200908_phd.pdf 4.376Mb PDF View/ Open

This item appears in the following Collection(s)

Show full item record