Abstract
The corrosion characterization of binary Al – Sn alloy systems has been statistically analyzed in the light of developed model equations. It was observed that the modeled corrosion penetration rate values generated using the developed model equations are in tandem with the experimental values.
Highlights
It has since been a worldwide problem for man to combat the menace of material degradation
It was observed that the modeled corrosion penetration rate values generated using the developed model equations are in tandem with the experimental values
The adoption of statistical analysis in corrosion analysis in metals has been predicted for years but, its usage has been hampered primarily by the specialty skill needed in applying this principle which, its impediment lies basically on the lack of reference frame for its application [16]
Summary
It has since been a worldwide problem for man to combat the menace of material degradation. The adoption of statistical analysis in corrosion analysis in metals has been predicted for years but, its usage has been hampered primarily by the specialty skill needed in applying this principle which, its impediment lies basically on the lack of reference frame for its application [16] In this present study, we will apply the non-linear regression analysis technique to obtain model equations that will be used to determine the corrosion parameter of interest and other statistical parameters adequate for discussing and understanding the phenomenon of corrosion (in this case, Al-Sn alloys of compositions 2.5% and 4.5% by weight respectively of Sn) in selected media environments: HCl and NaCl of concentrations 0.5 M and 1.0 M respectively, using the statistical software SPSSTM. The data of Idenyi et al [17] has been used for this analysis
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