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Galvanic Corrosion Risk Mapping

Authors: Kristen S. Williams; Richard Joel Thompson;

Galvanic Corrosion Risk Mapping

Abstract

Galvanic corrosion is a major problem impacting aerospace platform design, retrofit, and maintenance. MIL-STD-889 provides guidance on dissimilar material selection based on the corrosion potential of materials in flowing seawater. This standard provides a general guide for materials selection, but contains a limited material database and does not account for corrosion rates in addition to corrosion potential. To better inform materials selection during design and/or retrofit, an interactive galvanic corrosion predictor tool (GCPT) has been developed that quantitatively predicts corrosion rates. The GCPT is a computational engine that predicts pitting corrosion and galvanic corrosion rates between dissimilar materials. Galvanic interactions between dissimilar materials are modeled using a curve-crossing algorithm based on the Theory of Mixed Potentials. Furthermore, the GCPT and its material database have been coupled with computer-assisted design (CAD) software to enable galvanic simulations of coating systems, sub-assemblies, and large-scale platform models. This enables designers and material and process (M&P) engineers to rapidly assess galvanic corrosion risks prior to material qualification and implementation, rather than relying solely on engineering judgment or service history.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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