Issue |
MATEC Web Conf.
Volume 388, 2023
2023 RAPDASA-RobMech-PRASA-AMI Conference Advanced Manufacturing Beyond Borders - The 24th Annual International RAPDASA Conference joined by RobMech, PRASA and AMI, hosted by CSIR and CUT
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Article Number | 07007 | |
Number of page(s) | 12 | |
Section | Computational & Data-driven Modelling | |
DOI | https://doi.org/10.1051/matecconf/202338807007 | |
Published online | 15 December 2023 |
Optimization of avocado seed nanoparticle extract (ASNE) as green inhibitor on API X65 steel corrosion using response surface methodology
Department of Chemical, Metallurgical, and Materials Engineering, Tshwane University of Technology, South Africa
* Corresponding author: sweetdamsel08@gmail.com
The use of natural products as inhibitors has become increasingly popular due to environmental concerns and the need for sustainable corrosion solutions. In this investigation, response surface methodology (RSM) was utilized to optimize the process variable of ASNE on API X65 steel in 1M HCl acid solution through gravimetric and surface analysis. The influence of concentration, temperature, and exposure time on the inhibition efficiency of avocado seed nanoparticle extract (ASNE) was examined using a central composite design (CCD). The optimum values obtained for the highest inhibition of 95.7% were a temperature condition of 25 °C, a concentration of 5 g/L, and exposure time of 24 hours. Microstructural examination of the studied samples showed a significant surface difference, confirming the formation of a protective layer on the steel surface. Experimental data was in good agreement with the model hence, the study provides valuable insights into the use of ASNE as an inhibitor for API X65 steel and demonstrates the effectiveness of RSM in optimizing the inhibition process variables.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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