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

Autor:	Salah N. Farhan, Anees A. Khadom, Adiba A. Mahmmod, Hameed B. Mahood, Muataz H. Ismael
Rok vydání:	2019
Předmět:	Mathematical model Catalysis Corrosion Normal distribution Corrosion inhibitor chemistry.chemical_compound chemistry Chemistry (miscellaneous) Statistical analyses Pickling Statistics Environmental Chemistry Environmental science Physical and Theoretical Chemistry
Zdroj:	Chemistry Africa. 2:663-671
ISSN:	2522-5766 2522-5758
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f3e9f13cef820fe71535b377ff87b1e8 https://doi.org/10.1007/s42250-019-00074-x Zobrazit plný text záznamu Full text from SpringerLink