EFFECT OF PROCESS VARIABLES ON THE CORROSION INHIBITION PERFORMANCE OF AGERATUM CONYZOIDES ON STRUCTURAL STEEL IN HCl - FUZZY LOGIC APPROACH

Authors

  • A.M. Afabor Department of Materials and Metallurgical Engineering, Delta State University of Science and Technology, Ozoro, Nigeria
  • O. D. Omotor, Department of Materials and Metallurgical Engineering, Delta State University of Science and Technology, Ozoro, Nigeria
  • S. C. Onwusa Department of Mechanical Engineering, Delta State University of Science and Technology, Ozoro, Nigeria
  • E. D. Edfiadhe Department of Mechanical Engineering, Delta State University of Science and Technology, Ozoro, Nigeria
  • E. D. Edfiadhe Department of Mechanical Engineering, Delta State University of Science and Technology, Ozoro, Nigeria
  • I. P. Afabor Department of Chemicall Engineering, University of Benin, Benin city, Nigeria

DOI:

https://doi.org/10.36108/ujees/4202.60.0140

Keywords:

Steel, Fuzzy logic, Corrosion inhibition, Optimization, Taguchi

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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Published

2025-11-21

Issue

Vol. 6 No. 1 (2024): Volume 6, Number 1, 2024

Section

Articles