Research Papers

Inverse Method for Estimating Resistivity of Carbon Fiber Composite Structures

[+] Author and Article Information
Sung-Uk Zhang, Ashok V. Kumar

Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL 32611

J. Eng. Mater. Technol 133(1), 011009 (Dec 02, 2010) (6 pages) doi:10.1115/1.4002627 History: Received January 21, 2010; Revised July 14, 2010; Published December 02, 2010; Online December 02, 2010

A method to estimate the resistivity of composite structures using an inverse problem solving algorithm is presented that uses voltage distribution on the structure as data. Electrodes attached to the surface of the structure are used to obtain voltage data in response to current injection through a pair of these electrodes. The forward problem involves using the finite element method to predict the voltages at the electrodes using known values of resistivity. The inverse problem involves solving for the resistivity values using the experimentally measured voltage data. If the material does not have uniform properties, the computed resistivity values are average values. Damage or defect in a composite structure can significantly alter the average resistivity of the structure. To explore the possibility of using this approach to detect defects in manufacturing or damage due to loading, the effect of artificially induced damage/defect on the overall resistivity of the structure is studied.

Copyright © 2011 by American Society of Mechanical Engineers
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Figure 7

Computed average conductivity versus damage size

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Figure 8

Woven fiber composite prepregs with embedded Teflon patches

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Figure 1

Two conventional methods to measure resistivity: (a) two-probe method and (b) four-probe method

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Figure 2

A schematic diagram of the experimental setup

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Figure 3

FEA model of specimen with eight electrodes

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Figure 4

The voltage distribution as the solution of a forward problem

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Figure 5

Error in computed resistivity due to noise in voltage data

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Figure 6

Size and shape of the damaged region modeled in the forward problem



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