Statistical Investigation as a Tool for Corrosion Data Explanations and Forecasting of Reliable Operating Regions

Muataz H. Ismael; Adiba A. Mahmmod; Salah N. Farhan; Anees A. Khadom; Hameed B. Mahood

doi:10.1007/s42250-019-00074-x

Statistical Investigation as a Tool for Corrosion Data Explanations and Forecasting of Reliable Operating Regions

Muataz H. Ismael, Adiba A. Mahmmod, Salah N. Farhan, Anees A. Khadom^*, Hameed B. Mahood

^*Corresponding author for this work

Chemical Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

The research reports the results of the corrosion rate data of mild steel in H₃PO₄ acid as a function of temperature and inhibitor concentration. Potassium iodide was used as a corrosion inhibitor. The weight loss technique was used to evaluate the corrosion rate data. Mathematical and statistical analyses were used to interpret the results. Descriptive statistical analyses showed the distribution of data deviate from normal distribution, which means that most of corrosion rate data were distributed at higher level of inhibitor concentration and lower level of temperature and this preferable case in pickling process. Three mathematical models were suggested to represent the data with high correlation coefficients.

Original language	English
Pages (from-to)	663-671
Number of pages	9
Journal	Chemistry Africa
Volume	2
Issue number	4
DOIs	https://doi.org/10.1007/s42250-019-00074-x
Publication status	Published - Dec 2019

Bibliographical note

Publisher Copyright:
© 2019, The Tunisian Chemical Society and Springer Nature Switzerland AG.

Keywords

Corrosion
Desirability
Inhibitors
Metal
Models
Regression

ASJC Scopus subject areas

Catalysis
Chemistry (miscellaneous)
Environmental Chemistry
Physical and Theoretical Chemistry

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Cite this

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title = "Statistical Investigation as a Tool for Corrosion Data Explanations and Forecasting of Reliable Operating Regions",

abstract = "The research reports the results of the corrosion rate data of mild steel in H3PO4 acid as a function of temperature and inhibitor concentration. Potassium iodide was used as a corrosion inhibitor. The weight loss technique was used to evaluate the corrosion rate data. Mathematical and statistical analyses were used to interpret the results. Descriptive statistical analyses showed the distribution of data deviate from normal distribution, which means that most of corrosion rate data were distributed at higher level of inhibitor concentration and lower level of temperature and this preferable case in pickling process. Three mathematical models were suggested to represent the data with high correlation coefficients.",

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AU - Ismael, Muataz H.

AU - Mahmmod, Adiba A.

AU - Farhan, Salah N.

AU - Khadom, Anees A.

AU - Mahood, Hameed B.

PY - 2019/12

Y1 - 2019/12

N2 - The research reports the results of the corrosion rate data of mild steel in H3PO4 acid as a function of temperature and inhibitor concentration. Potassium iodide was used as a corrosion inhibitor. The weight loss technique was used to evaluate the corrosion rate data. Mathematical and statistical analyses were used to interpret the results. Descriptive statistical analyses showed the distribution of data deviate from normal distribution, which means that most of corrosion rate data were distributed at higher level of inhibitor concentration and lower level of temperature and this preferable case in pickling process. Three mathematical models were suggested to represent the data with high correlation coefficients.

AB - The research reports the results of the corrosion rate data of mild steel in H3PO4 acid as a function of temperature and inhibitor concentration. Potassium iodide was used as a corrosion inhibitor. The weight loss technique was used to evaluate the corrosion rate data. Mathematical and statistical analyses were used to interpret the results. Descriptive statistical analyses showed the distribution of data deviate from normal distribution, which means that most of corrosion rate data were distributed at higher level of inhibitor concentration and lower level of temperature and this preferable case in pickling process. Three mathematical models were suggested to represent the data with high correlation coefficients.

KW - Corrosion

KW - Desirability

KW - Inhibitors

KW - Metal

KW - Models

KW - Regression

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JF - Chemistry Africa

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ER -

Statistical Investigation as a Tool for Corrosion Data Explanations and Forecasting of Reliable Operating Regions

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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