Abstract
The aim of this study is to optimize the process variables to achieve a more efficient Ageratum Conyzoides extract (ACE) inhibitive performance on structural steel in 1 M HCl acid, using the integrated Taguchi-fuzzy logic technique. Optimization of multiple performance characteristics of weight and corrosion rate; was achieved via a multiple response performance index (MRPI) from corrosion inhibition parameters of inhibitor concentration, temperature and exposure time. The predictive model determined that the setting of inhibitor concentration of 2 g/cm3, temperature of 30oC and exposure time of 2 days were the optimal setting for maximum inhibitive corrosion performance. The optimal setting was verified and validated by a confirmatory experiment, indicating a significant improvement of 0.634 in the actual MRPI value when the integrated Taguchi-Fuzzy logic optimization model was employed.
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