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Proceedings Paper

Piesoceramic and nanotube materials for health monitoring
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Paper Abstract

This paper discusses the potential for using Piezoceramic and Nanotube materials to develop an artificial neural system for structural health monitoring. An artificial neural system array was modeled using piezoceramic nerves and electronic components. The neural system was simulated using one hundred dual-output sensor nodes on a four-foot square composite panel. The nodal outputs were combined into twenty neuron firing signals, one row time signal, and one column time signal. This system was able to detect and locate acoustic waves and large strains in the panel. Also discussed, is the potential for using nanotubes for building the artificial neural system. In carbon nanotubes, an electrochemical process can be used to achieve low voltage actuation at high strain, but the process velocity is slow and a structural polymer electrolyte must be used for ion exchange. Carbon and boron nitride nanotubes can be piezoelectric, and piezonanotechnolgy may be useful for building high bandwidth neural systems. The operating temperature of boron nitride is high and the amount of material needed to build artificial nerves is small, but the piezoelectric coefficients appear to be small. Nanotube molecular electronics and the change in conductance of nanotubes might also be used to develop artificial nerves.

Paper Details

Date Published: 11 June 2002
PDF: 12 pages
Proc. SPIE 4702, Smart Nondestructive Evaluation for Health Monitoring of Structural and Biological Systems, (11 June 2002); doi: 10.1117/12.469883
Show Author Affiliations
Mark J. Schulz, Univ. of Cincinnati (United States)
Goutham R. Kirikera, Univ. of Cincinnati (United States)
Saurabh Datta, Univ. of Cincinnati (United States)
Mannur J. Sundaresan, North Carolina Agriculture and Technical State Univ. (United States)


Published in SPIE Proceedings Vol. 4702:
Smart Nondestructive Evaluation for Health Monitoring of Structural and Biological Systems
Tribikram Kundu, Editor(s)

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