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Analytical modeling of the evolution of the nonlinearity parameter of sensitized stainless steel

Authors: Brian Fuchs (Georgia Institute of Technology) , Jin-Yeon Kim (Georgia Institute of Technology) , Laurence Jacobs (Georgia Institute of Technology) , Jianmin Qu (Tufts University)

  • Analytical modeling of the evolution of the nonlinearity parameter of sensitized stainless steel

    None

    Analytical modeling of the evolution of the nonlinearity parameter of sensitized stainless steel

    Authors: , , ,

Abstract

Austenitic stainless steels are subject to the formation of M23C6 precipitates under the environmental conditions found in nuclear power generators, leaving them susceptible to corrosion due to chromium depletion at the grain boundaries. The acoustic nonlinearity parameter shows sensitivity to the formation of precipitates in 304L stainless steel. A numerical model of precipitate growth is used to show that there is a direct relationship between the predicted mean radius of M23C6 precipitates and the change in the acoustic nonlinearity parameter of thermally aged 304L.

How to Cite:

Fuchs, B. ., Kim, J. ., Jacobs, L. . & Qu, J. ., (2019) “Analytical modeling of the evolution of the nonlinearity parameter of sensitized stainless steel”, Review of Progress in Quantitative Nondestructive Evaluation .

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Published on
03 Dec 2019
Peer Reviewed
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