On the use of factorial experiments for optimizing inhibition effect of acid extract of Gnetum Africana on copper corrosion

• A.J. Saka¹, O.N. Ahmed¹ and A.S. Adekunle²

¹ Department of Mathematics, Obafemi Awolowo University, Ile-Ife, Nigeria
² Department of Chemistry, Obafemi Awolowo University, Ile-Ife, Nigeria

Abstract: The inhibition of copper corrosion by acid extract of Gnetum Africana using weight loss method under various independent variables of time, inhibitor concentration and temperature was studied. The data used was retrieved from a three-level factorial experiment by Nkuzinna et al. (2014) and reanalyzed. The re-analysis was necessary to provide an alternative model for weight loss due to corrosion of copper in the acid extract of Gnetum Africana. The original three-level factorial design was employed to fit a model describing the weight loss due to corrosion. Equally, a two-level factorial design and Box–Behnken design were alternatively considered for the design constructions, analysis, and modeling the process of the original data. The optimum factor settings for corrosion inhibition were determined to be 24 h, 0.003 g/L and 303 K for time, inhibitor concentration and temperature respectively. It was concluded that the Box–Behnken design was the most efficient, followed by the two-level factorial design, while the three-level factorial design was the least efficient in predicting the weight loss. Indeed, this is a great improvement over the three-level factorial experiment earlier used by Nkuzinna et al. (2014) in relation to resources, time and above all the statistical efficiency, precision and reliability of the model.

Keywords: designs of experimental, factorial designs, Box–Behnken design, optimization, corrosion, Gnetum Africana, corrosion inhibition

Int. J. Corros. Scale Inhib., 2020, 9, no. 1, 284-299 PDF (670 K)
doi: 10.17675/2305-6894-2020-9-1-18

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