Abstract
This paper presents the predictability of aluminium-manganese alloy exposure time based on its as-cast weight and corrosion rate in sea water environment. The validity of the derived model: α = 26.67γ + 0.55β － 0.29 is rooted on the core expression: 0.0375α = γ + 0.0206β － 0.0109 where both sides of the expression are correspondingly approximately equal. Statistical analysis of model-predicted and experimentally evaluated exposure time for each value of as-cast weight and alloy corrosion rate considered shows a standard error of 0.0017% & 0.0044% and 0.0140% & 0.0150% respectively. The depths of corrosion penetration (at increasing corrosion rate: 0.0104 - 0.0157 mm/yr) as predicted by derived model and obtained from experiment are 0.7208 × 10－4 & 1.0123 × 10－4 mm and 2.5460 × 10－4 & 1.8240 × 10－4 mm (at decreasing corrosion rate: 0.0157 - 0.0062 mm/yr) respectively. Deviational analysis indicates that the maxi- mum deviation of the model-predicted alloy exposure time from the corresponding experimental value is less than 10%.
Highlights
The service performance of metals, irrespective of the exposure environment is largely affected by their physical and mechanical properties such as hardness, weldability, toughness, malleability, ductility, resistance to fatique etc
The aim of this work is to ascertain the predictability of aluminium-manganese alloy exposure time based on its as-cast weight and corrosion rate in sea water environment
This implies that the predicted exposure time for the Al-Mn alloy in sea water environment is dependent on just two factors: as-cast weight and corrosion rate of the alloy
Summary
The service performance of metals (or alloy), irrespective of the exposure environment is largely affected by their physical and mechanical properties such as hardness, weldability, toughness, malleability, ductility, resistance to fatique etc. The stability of metals or alloys in an aggressive environment has been reported [2] to basically depend on the protective properties of organic or inorganic films as well as on the layer of corrosion products. This is because correction factor is the negative of the deviation as shown in Equations (8) and (19).
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Minerals and Materials Characterization and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
