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Feasibility Analyses of Carbon Nanotubes for the Design of a New Hair Flow Sensor

J. HUANG, J. TAO, X. (BILL) YU

Abstract


Finite element analyses were performed to determine the effectiveness of vertically aligned carbon nanotubes (CNTs) as a sensor material in developing a nanoscale flow sensor. Physical properties including varying length, diameter, and moment of inertia were tested to find a design that optimizes the bandwidth for sensing wind flow. It was found that increasing the length of the CNT decreased its eigenfrequency from 1010 Hz to 106 Hz which was still well beyond the frequency of wind (in the range of 103 Hz). Changing other physical properties proved to be less effective in optimizing the sensitivity of CNT. The observations provided can be used as reference for future endeavors in incorporating CNT into sensor technology.

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