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Open AccessFeature PaperArticle

Predictive Modeling of Corrosion in Al/Mg Dissimilar Joint

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Department of Metallurgical Engineering, University of Nevada, Reno, Reno, NV 89557, USA
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Department of Chemistry, University of Nevada, Reno, Reno, NV 89557, USA
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Department of Chemistry, Payame Noor University, Tehran 193953697, Iran
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Department of Mechanical Engineering, Oregon State University, Corvallis, OR 97333, USA
*
Authors to whom correspondence should be addressed.
ChemEngineering 2019, 3(3), 70; https://doi.org/10.3390/chemengineering3030070
Received: 1 July 2019 / Revised: 29 July 2019 / Accepted: 1 August 2019 / Published: 5 August 2019
In the absence of any abnormality (standard conditions), the gradient of any mechanical/thermodynamic stress would be intensified at the dissimilar joint due to an abrupt change in the chemical composition. This paper aims to investigate the effect of delocalizing this stress by imposing an optimum chemical gradient within the dissimilar joint. In this work, we computationally demonstrated that a homogenous distribution of magnesium atoms in the aluminum (100) structure with a specific chemical gradient could potentially reduce the susceptibility of the Mg/Al dissimilar joint towards micro-galvanic corrosion. This is achieved through the minimization of the work function gradient within the dissimilar joint. View Full-Text
Keywords: work function; Mg/Al dissimilar joint; micro-galvanic corrosion; chemical composition work function; Mg/Al dissimilar joint; micro-galvanic corrosion; chemical composition
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Ahmadvand, S.; Elahifard, M.; Peik, B.; Behjatmanesh-Ardakani, R.; Abbasi, B.; Abbasi, B. Predictive Modeling of Corrosion in Al/Mg Dissimilar Joint. ChemEngineering 2019, 3, 70.

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