2017
DOI: 10.3390/met7080304
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Neutron Reflectometry for Studying Corrosion and Corrosion Inhibition

Abstract: Neutron reflectometry is an extremely powerful technique to monitor chemical and morphological changes at interfaces at the angstrom-level. Its ability to characterise metal, oxide and organic layers simultaneously or separately and in situ makes it an excellent tool for fundamental studies of corrosion and particularly adsorbed corrosion inhibitors. However, apart from a small body of key studies, it has yet to be fully exploited in this area. We present here an outline of the experimental method with particu… Show more

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Cited by 17 publications
(21 citation statements)
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“…Whilst both XRR and NR are extremely powerful in characterising the structural features of corrosive systems at the angstrom-scale, they remain relatively untapped techniques in this area 40…”
Section: Introductionmentioning
confidence: 99%
“…Whilst both XRR and NR are extremely powerful in characterising the structural features of corrosive systems at the angstrom-scale, they remain relatively untapped techniques in this area 40…”
Section: Introductionmentioning
confidence: 99%
“…Corrosion is a very expensive industrial problem and there has been a growing number of articles using NR to investigate this, with recent review articles discussing developments in the field e.g. [61,62]. NR has been applied to an increasing range of metal surfaces including Fe, [14,15] Ni, [27,28] Cu, [19] Ti, [18] and steel.…”
Section: Corrosion and Metalsmentioning
confidence: 99%
“…The economic cost of corrosion is estimated to be 3 to 4% of the gross domestic product of industrialized nations [Wood and Clarke, 2017;Wood et al, 2018]. On metal surfaces, the corrosion process is complex and involves oxides, hydroxides, and other thin films [Wood and Clarke, 2017]. In addition to time, environmental conditions such as stress, temperature, or radiation can alter the rates of corrosion processes.…”
Section: Understanding Fundamental Corrosion Mechanismsmentioning
confidence: 99%