Numerous environmental factors strongly affect performance of inhibitors. Therefore, many experimental tests and much time are needed to fully explore the inhibitor performance in various conditions. This paper introduces the response surface method using central composite face-centered design as a method in order to explore and mathematically model the inhibitors' behavior in different working conditions. Also, this method provides the ability of significantly decreasing the number of experiments. In this study, as an example, the effect of temperature, hydrochloric acid, and inhibitor concentrations on inhibitive behavior of 4-aminophenyl disulfide for mild steel was examined. Further, two mathematical models were established to estimate mild steel corrosion rate in the inhibited and uninhibited solutions. Analysis of variance was applied to check the adequacy of the models. Finally, the Langmuir adsorption energy was calculated using the acquired models. The results showed that, despite the inhibitor efficiency changes in various conditions, the adsorption type into metal is an invariable parameter.
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1 July 2015
Research Article|
March 31 2015
The Response Surface Method as an Experimental Design Technique to Explore and Model the Performance of Corrosion Inhibitors
A. Davoodi;
‡Corresponding author. E-mail: [email protected].
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‡Corresponding author. E-mail: [email protected].
*Materials and Metallurgical Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad 91775-1111, Iran.
**Chemical Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad, Iran.
Received:
November 30 2014
Revision Received:
March 30 2015
Accepted:
March 30 2015
Online ISSN: 1938-159X
Print ISSN: 0010-9312
© 2015 NACE International
2015
CORROSION (2015) 71 (7): 819–827.
Article history
Received:
November 30 2014
Revision Received:
March 30 2015
Accepted:
March 30 2015
Citation
A. Kosari, A. Davoodi, M.H. Moayed, R. Gheshlaghi; The Response Surface Method as an Experimental Design Technique to Explore and Model the Performance of Corrosion Inhibitors. CORROSION 1 July 2015; 71 (7): 819–827. https://doi.org/10.5006/1578
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