Optimization of the Experimental Variables Influencing the Corrosion Rate of Aluminum Using Response Surface Methodology


CORROSION, vol.69, no.5, pp.462-467, 2013 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 69 Issue: 5
  • Publication Date: 2013
  • Doi Number: 10.5006/0382
  • Journal Name: CORROSION
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.462-467
  • Keywords: aluminum, corrosion rate, response surface methodology, MILD-STEEL, FACTORIAL DESIGN, ANIONIC SURFACTANT, CHEMOMETRIC TOOLS, INHIBITION, IRON, CHEMISTRY
  • Kocaeli University Affiliated: Yes


The effects of temperature and sodium dodecyl benzene sulfonate (SDBS) concentration in hydrochloric acid (HCl) solution on aluminum corrosion rate were investigated using the response surface methodology (RSM) with central composite design (CCD). Optimization studies are an essential tool used in the corrosion systems. RSM is a statistical technique frequently used in most studies involving optimization. RSM was used to optimize the corrosion current density (i(corr)) of aluminum determined using the potentiodynamic polarization method and to evaluate the effects and the interactions of temperature and SDBS concentration. The lowest i(corr) was found as SDBS concentration at 130 mg/L and temperature at 24 degrees C. This methodology was first applied successfully in optimizing the conditions that are needed to attain the minimum i(corr) of aluminum under tested conditions in this study.