IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 8

Issue Published : 88

Article Submitted : 8804

Article Published : 4513

Total Authors : 11718

Total Reviewer : 551

Total Countries : 87

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Modelling and optimization of corrosion rates of mild steel inhibited with Ficus thonningii bark extract in 1 M HCl solution
Authors Name: OLISAKWE HENRY CHUKWUEMEKA , IKPAMBESE KUMADEN K , TULEUN LIVINUS T
Download E-Certificate: Download
Author Reg. ID:
IJRTI_184416
Published Paper Id: IJRTI2210087
Published In: Volume 7 Issue 10, October-2022
DOI:
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
Downloads: 000202526
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
DOI (Digital Object Identifier):
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
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Join RMS/Earn 300

IJRTI

Indexing Partner