Determination of Functional Groups Affecting the Viscosity Index of Motor Oils Using FT-IR and Multivariate Linear Regression Based on Genetic Algorithm

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Ehsani Samaneh; MANI VARNOSFADERANI AHMAD; YAMINI YADOLLAH

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Nashrieh Shimi va Mohandesi Shimi Iran Year:2020 | Volume:39 | Issue:1 (95) Page(s): 159-166

Download Full-Text

Persian Verion

View:

492

Download:

Cites:

Information Journal Paper

Title

Determination of Functional Groups Affecting the Viscosity Index of Motor Oils Using FT-IR and Multivariate Linear Regression Based on Genetic Algorithm

Author(s)

Ehsani Samaneh | MANI VARNOSFADERANI AHMAD | YAMINI YADOLLAH | Issue Writer Certificate

Keywords

Engine oilsQ1

Viscosity IndexQ1

FT-IRQ1

Genetic Algorithm (GA)Q2

Multivariate Linear Regression (MLR)Q1

Abstract

Motor oils have different physicochemical properties, namely viscosity, Viscosity Index, flash point, pour point, etc. Viscosity is one of the important properties of motor oils since all the properties of industrial lubricants are referred to as their viscosities. The changes in viscosity with variation in temperature are regarded as the Viscosity Index. The greater the Viscosity Index, the lower the chances of the viscosity of motor oil with temperature and vice versa. According to the importance of Viscosity Index in lubricants and because the Viscosity Index of lubricants is dependent on the chemical composition of motor oils, thus in this study, a simple spectroscopic technique like Fourier Transform InfraRed (FT-IR) spectroscopy was used to analyze the Behran motor oils. The important wavenumbers that affect the viscosity indices were identified by using the Genetic Algorithm (GA) as a variable selection method. By using this method, some functional groups like Alkyl halides, Alkene, Nitro, Acid, Alkane, Alkyne, and Alcohol were recognized that affect the Viscosity Index of motor oils. Modeling the Viscosity Index of motor oils was done by Multivariate Linear Regression (MLR) method. Various data preprocessing techniques like Mean Centering and Auto-scaling were operated before the MLR and GA-MLR techniques. The results of modeling were evaluated by using different parameters like regression coefficients (R2) and Root Mean Square Error (RMSE). The values of R2 and RMSE, obtained by the GA-MLR were 0. 998 and 0. 954 respectively.

Cites

No record.

References

No record.

Cite

APA: Copy

Ehsani, Samaneh, MANI VARNOSFADERANI, AHMAD, & YAMINI, YADOLLAH. (2020). Determination of Functional Groups Affecting the Viscosity Index of Motor Oils Using FT-IR and Multivariate Linear Regression Based on Genetic Algorithm. NASHRIEH SHIMI VA MOHANDESI SHIMI IRAN (PERSIAN), 39(1 (95) ), 159-166. SID. https://sid.ir/paper/388469/en

Vancouver: Copy

Ehsani Samaneh, MANI VARNOSFADERANI AHMAD, YAMINI YADOLLAH. Determination of Functional Groups Affecting the Viscosity Index of Motor Oils Using FT-IR and Multivariate Linear Regression Based on Genetic Algorithm. NASHRIEH SHIMI VA MOHANDESI SHIMI IRAN (PERSIAN)[Internet]. 2020;39(1 (95) ):159-166. Available from: https://sid.ir/paper/388469/en

IEEE: Copy

Samaneh Ehsani, AHMAD MANI VARNOSFADERANI, and YADOLLAH YAMINI, “Determination of Functional Groups Affecting the Viscosity Index of Motor Oils Using FT-IR and Multivariate Linear Regression Based on Genetic Algorithm,” NASHRIEH SHIMI VA MOHANDESI SHIMI IRAN (PERSIAN), vol. 39, no. 1 (95) , pp. 159–166, 2020, [Online]. Available: https://sid.ir/paper/388469/en

Related Journal Papers