Femiana Gapsari, Fitri Utaminingrum, Chin Wei Lai, Khairul Anam, Abdul M. Sulaiman, Muhamad F. Haidar, Tobias S. Julian, Eno E. Ebenso
A corrosion inhibition test, coupled with a quantification of in-situ H2 evolution, can be used to evaluate an organic inhibitor such as Timoho leaf extract (TLE). TLE is a biodegradable and effective corrosion inhibitor because of its potential to protect 304SS against sulfuric acid. TLE corrosion inhibitor was studied through systematic electrochemical experiments and morphological characterization, with a concentration range of 0–6g L−1. Convolutional Neural Network (CNN)-VGG16 was one of the machine learning approaches used to classify and predict physical changes in hydrogen gas bubbles. Constituents of the TLE and 304SS surfaces were analyzed by FT-IR and UV–Vis tests. The results suggested that 3 g L−1 TLE inhibitor was able to reduce the corrosion rate by 99.37 %. The TLE's inhibition mechanism on 304SS was mixed adsorption and mixed type inhibitor that followed the Isothermal Freundlich Equation. The prediction model by CNN-VGG16 for corrosion tests at varied inhibitor doses was 96% accurate. SEM tests revealed that TLE constituent adsorption on the 304SS surface had a smooth surface morphology with few degraded spots. © 2024 The Authors
Department of Mechanical Engineering, Faculty of Engineering, Brawijaya University, MT Haryono 167, Malang, 65145, Indonesia; Computer Vision Research Group, Faculty of Computer Science Brawijaya University, Veteran 12-14, Malang, 65145, Indonesia; Nanotechnology and Catalysis Research Centre, Institute for Advanced Studies, Universiti Malaya, Level 3, Block A, Kuala Lumpur, 50603, Malaysia; Department of Mechanical and Industrial Engineering, Univiversitas Gadjah Mada, Jalan Grafika No. 2, Yogyakarta, 55281, Indonesia; Centre for Materials Science, College of Science, Engineering and Technology, University of South Africa, Johannesburg, 1710, South Africa; Institute for Nanotechnology and Water Sustainability, College of Science, Engineering and Technology, University of South Africa, Johannesburg, 1710, South Africa