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Paper Title: Modelling and optimization of corrosion rates of mild steel inhibited with Ficus thonningii bark extract in 1 M HCl solution
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Published Paper Id: IJRTI2210087
Published In: Volume 7 Issue 10, October-2022
Abstract: The study explores the most active and optimum effect of Ficus thonningii bark extract as corrosion inhibitor in 1M HCl medium on a mild steel using the Response surface methodology (RSM). The operation variables considered were temperature and concentration as inputs and corrosion rate (output) on mild steel inhibited with extracts of Ficus thonningii bark. A linear model developed by applying response surface methodology showed that extract concentration and temperature affect and interacts with the corrosion rate of mild steel exposed to 1M HCl solution. The predictive model equation of corrosion rate for Ficus thonningii bark extract was developed. The predictive optimum corrosion rate of 31.02082 x 10-3 mm/yr was obtained from RSM modelling for the experimental design with 1.0g/dm Ficus thonningii bark extract concentration at 298K. More experimentation was carried out to validate the predicted result and the validated optimum value was 31.0218 x 10-3 mm/yr. This value was in agreement with the predictive value generated by the regression model. The model can be used to predict the corrosion rates of mild steels exposed to varying temperatures in an acidic medium, at various using different concentration of the extract as inhibitors.
Keywords: optimization, corrosion rate, Response surface methodology, Ficus thonningii bark extract.
Cite Article: "Modelling and optimization of corrosion rates of mild steel inhibited with Ficus thonningii bark extract in 1 M HCl solution", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 10, page no.630 - 636, October-2022, Available :http://www.ijrti.org/papers/IJRTI2210087.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2210087
Registration ID:184416
Published In: Volume 7 Issue 10, October-2022
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Page No: 630 - 636
Country: Makurdi, Benue state, Nigeria
Research Area: Mechanical Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2210087
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2210087
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ISSN: 2456-3315
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