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Copper based waterborne wood preservatives increase the corrosion of metals embedded or in contact with the treated wood. We examine wood that was in contact with corroding metal with synchrotron based X-ray fluorescence microscopy (XFM) and X-ray Absorption Near Edge Spectroscopy (XANES) to test if the proposed corrosion mechanism is correct.
Copper based waterborne wood preservatives are frequently used to extend the service life of wood products used in outdoor environments. While these copper based treatments protect the wood from fungal decay and insect attack they increase the corrosion of metals embedded or in contact with the treated wood. Over the past ten years several studies have looked at the corrosion mechanisms for metals in contact with copper treated wood. These studies have concluded that the most plausible corrosion mechanism involves the migration of copper ions from the wood treatment through the wood to the metal surface where they are then reduced. Despite this under almost all conditions copper has not been detected in the corrosion products as the proposed mechanism would imply.Here we examine wood that was in contact with corroding metal with synchrotron based X-ray fluorescence microscopy (XFM) and X-ray Absorption Near Edge Spectroscopy (XANES) to test whether the previously proposed corrosion mechanism is correct and if so why copper is not deposited on the metal surface. With XFM we are able to detect copper in the wood and construct a copper concentration profile map with a spatial resolution of 0.2µm down to trace (less than 0.01 µg cm-3 ) concentrations. We compliment these measurements with XANES a technique that allows us to differentiate between the different ionic states of copper in the wood. Together these measurements give for the first time an experimental method to test the previous theories of the role of copper in the corrosion metals in treated wood.
Key words: downloadable, preservative treated wood, steel, cupric ions
Bayesian networks (BN) are useful tools for corrosion modeling. This paper is a case study demonstrating how to perform Internal Corrosion Direct Assessment (ICDA) using BN modeling with limited data. A BN model was developed for ICDA of a 50 km refined oil pipeline. Internal corrosion probability of failure along the pipeline was assessed.
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Galvele introduced a new framework for localized corrosion with his seminal paper on acidification and chloride accumulation in pits & the need for a critical product of current density & pit depth to sustain this chemistry. This paper is to review the progress in these areas with a particular focus on repassivation potential.
Analysis techniques that yield more information about effect of anomalies on fitness for service. RSTRENG calculations on phased array data, integration of UT data with structured light 3D data and the calculation of surface strain maps from structured light 3D imaging of dents.